Warning: file_get_contents(): php_network_getaddresses: getaddrinfo failed: Name or service not known in /home/wwwroot/lib/functions.php on line 286

Warning: file_get_contents(https://ghapi.huchen.dev/repositories?since=daily): failed to open stream: php_network_getaddresses: getaddrinfo failed: Name or service not known in /home/wwwroot/lib/functions.php on line 286
deep-learning-drizzle - Readme

Recent Trend

rotate
Create recursive image rotation animations
Keiko-Corp
HTML challenge for Hacktoberfest 2020
framework

cortex
A horizontally scalable, highly available, multi-tenant, long term Prometheus.
trojan-go
Go实现的Trojan代理,支持多路复用/路由功能/CDN中转/Shadowsocks混淆插件,多平台,无依赖。A Trojan proxy written in Go. An unidentifiable mechanism that helps you bypass GFW. https://p4gefau1t.github.io/trojan-go/
DataStructures-Algorithms
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
mlbook
Repository for the free online book Machine Learning from Scratch (link below!)
EssayKiller_V2
基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化
hetty
Hetty is an HTTP toolkit for security research. It aims to become an open source alternative to commercial software like Burp Suite Pro, with powerful features tailored to the needs of the infosec and
fission
Fast and Simple Serverless Functions for Kubernetes
Few-Shot-Patch-Based-Training
The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
raspi3-tutorial
Bare metal Raspberry Pi 3 tutorials
DS-Algo-Point
This repository contains codes for various data structures and algorithms in C, C++, Java, Python.
chibicc
A small C compiler
awesome-for-beginners
A list of awesome beginners-friendly projects.
first-contributions
?✨ Help beginners to contribute to open source projects
ajour
A World of Warcraft addon manager written in Rust.
open-project-1
Unity Open Project #1: Action-adventure
CPP
Repository for C++/C codes and algos.Star the repo too.
PySyft
A library for answering questions using data you cannot see
zhaopp
一个Google Drive搜索引擎 https://zhao.pp.ua/
imaginaire
NVIDIA PyTorch GAN library with distributed and mixed precision support
datasets
? Fast, efficient, open-access datasets and evaluation metrics for Natural Language Processing and more in PyTorch, TensorFlow, NumPy and Pandas
proshop_mern
Shopping cart built with MERN & Redux
puma
A Ruby/Rack web server built for concurrency
kubebuilder
Kubebuilder - SDK for building Kubernetes APIs using CRDs
csharplang
The official repo for the design of the C# programming language
DevUtils-app
Developer Utilities for macOS
elsa
❄️ Elsa is a minimal, fast and secure runtime for Javascript and Typescript written in Go
Flutter-AI-Rubik-cube-Solver
Flutter-Python rubiks cube solver.
jukebox
Code for the paper "Jukebox: A Generative Model for Music"
azure-cli
Azure Command-Line Interface
terraform-aws-vpc
Terraform module which creates VPC resources on AWS
MEDUZA
A more or less universal SSL unpinning tool for iOS
vuetify
? Material Component Framework for Vue
scripts
京东薅羊毛工具(活动入口:京东app->我的->游戏与互动->查看更多)讨论组:https://t.me/JD_fruit_pet
kubeedge
Kubernetes Native Edge Computing Framework (project under CNCF)
hacktoberfest-swag-list
Multiple companies give out swag for Hacktoberfest, and this repo tries to list them all.
visx
? visx | visualization components
CyberChef
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
winget-cli
Windows Package Manager CLI (aka winget)
ts-sql
A SQL database implemented purely in TypeScript type annotations.
azure-sdk-for-js
This repository is for active development of the Azure SDK for JavaScript (NodeJS & Browser). For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-
cool-retro-term
A good looking terminal emulator which mimics the old cathode display...
rocketmq
Mirror of Apache RocketMQ
Hippy
A cross platform framework designed for Web developer. Introduction video - https://v.qq.com/x/page/i3038urj2mt.html
Tinyhttpd
Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server,用来学习非常不错,可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net
ta-lib
Python wrapper for TA-Lib (http://ta-lib.org/).
GNNPapers
Must-read papers on graph neural networks (GNN)
Impostor
Impostor - An open source reimplementation of the Among Us Server
Real_Time_Image_Animation
The Project is real time application in opencv using first order model
Windows-10-Sophia-Script
Script to setup Windows 10 LTSC/1903/1909/2004/2009
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
go-diagrams
Create beautiful system diagrams with Go
crochet
Explorations in reactive UI patterns
led
Modern, lightweight and efficient 2D level editor
duf
Disk Usage/Free Utility
Hazel
Hazel Engine
PayloadsAllTheThings
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
send
Simple, private file sharing from the makers of Firefox
windows
V2ray , Trojan, Trojan-go, NaiveProxy, shadowsocksR install tools for windows V2ray,Trojan,Trojan-go, NaiveProxy, shadowsocksR的一键安装工具windows下用(一键科学上网)
silero-models
Silero Models: pre-trained STT models and benchmarks made embarrassingly simple
vue-next
Repo for Vue 3.0 (currently in RC)
FreeCAD
This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler. Issues are managed on our own bug tracker at https://www.freecadweb.org/tracker
kb
A minimalist knowledge base manager
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mimikatz
A little tool to play with Windows security
vagas-junior-estagio
Empresas que constantemente oferecem vagas para junior e estagiários
material-shell
A modern desktop interface for Linux. Improve your user experience and get rid of the anarchy of traditional desktop workflows. Designed to simplify navigation and reduce the need to manipulate window
dayjs
⏰ Day.js 2KB immutable date library alternative to Moment.js with the same modern API
ML_course
EPFL Machine Learning Course, Fall 2019
create-react-app
Set up a modern web app by running one command.
Background-Matting
Background Matting: The World is Your Green Screen
Kingfisher
A lightweight, pure-Swift library for downloading and caching images from the web.
istio
Connect, secure, control, and observe services.
linux-command
Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
generative_inpainting
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
yearn-protocol
Yearn solidity smart contracts
pebble
RocksDB/LevelDB inspired key-value database in Go
jazzit
Laughs at your expense
moment
Parse, validate, manipulate, and display dates in javascript.
n8n
Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
Hero
Elegant transition library for iOS & tvOS
DAIN
Depth-Aware Video Frame Interpolation (CVPR 2019)
eat_tensorflow2_in_30_days
Tensorflow2.0 ?? is delicious, just eat it! ??
tmpmail
✉️ A temporary email right from your terminal
team-comtress-2
Team Fortress 2, but with a lot of fixes, QoL improvements and performance optimizations!
CVE-2020-1472
PoC for Zerologon - all research credits go to Tom Tervoort of Secura
DefinitelyTyped
The repository for high quality TypeScript type definitions.
rails
Ruby on Rails
stats-illustrations
R & stats illustrations by @allison_horst
pytorch-gans
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN, cGAN, DCGAN, etc.
data-science-interviews
Data science interview questions and answers
sds1

jupyter-text2code
A proof-of-concept jupyter extension which converts english queries into relevant python code
Notebooks
Learn Python for free using open-source notebooks in Hebrew.
jellyfin
The Free Software Media System
BIGTREETECH-SKR-mini-E3
BIGTREETECH SKR-mini-E3 motherboard is a ultra-quiet, low-power, high-quality 3D printing machine control board. It is launched by the 3D printing team of Shenzhen BIGTREE technology co., LTD. This bo
XiaomiADBFastbootTools
A simple tool for managing Xiaomi devices on desktop using ADB and Fastboot
fastmac
Get a MacOS or Linux shell, for free, in around 2 minutes
pipedream
Serverless integration and compute platform. Free for developers.
DeepVision
在我很多项目中用到的CV算法推理框架应用。
dive
A tool for exploring each layer in a docker image
libra
Libra’s mission is to enable a simple global payment system and financial infrastructure that empowers billions of people.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters,
kinto

CVE-2020-1472
Test tool for CVE-2020-1472
leetcode_company_wise_questions
This is a repository containing the list of company wise questions available on leetcode premium
makani
Makani was a project to develop a commercial-scale airborne wind turbine, culminating in a flight test of the Makani M600 off the coast of Norway. All Makani software has now been open-sourced. This r
Fantasy-Premier-League
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
graal
GraalVM: Run Programs Faster Anywhere ?
understand-nodejs
通过源码分析nodejs原理
tensorboard
TensorFlow's Visualization Toolkit
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Relativty
An open source VR headset with SteamVR supports for $200
guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper.(一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。)
UTM
Virtual machines for iOS
v2ray-heroku
用于在 Heroku 上部署 V2Ray Websocket,本项目不宜做为长期使用之对策。
learning
Becoming 1% better at data science everyday
wirehole

minecraft-react

mem-doc
This is a document to help with .NET memory analysis and diagnostics.
HarmonyOS
A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。
radar-covid-backend-dp3t-server
DP^3T Radar COVID fork
eiten
Statistical and Algorithmic Investing Strategies for Everyone
radar-covid-backend-verification-server
Radar COVID Verification Service
radar-covid-ios
Native iOS app using DP^3T iOS sdk to handle Exposure Notification framework from Apple
radar-covid-android
Native Android app using DP^3T Android sdk to handle Exposure Notifications API from Google
react-challenge-amazon-clone

solana
Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
cockroach
CockroachDB - the open source, cloud-native distributed SQL database.
machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
hwp.js
Open source hwp viewer and parser library powered by web technology
awesome-react
A collection of awesome things regarding React ecosystem
connectedhomeip
Project Connected Home over IP is a new Working Group within the Zigbee Alliance. This Working Group plans to develop and promote the adoption of a new connectivity standard to increase compatibility
Yolo-Fastest
⚡ Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
laravel
A PHP framework for web artisans
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
cim
?cim(cross IM) 适用于开发者的分布式即时通讯系统
ESP32-WiFi-Hash-Monster
WiFi Hash Purple Monster, store EAPOL & PMKID packets in an SD CARD using a M5STACK / ESP32 device
react-portfolio

Algorithms
A collection of algorithms and data structures
frp
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
funNLP
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名
GRAT2
We developed GRAT2 Command & Control (C2) project for learning purpose.
DescomplicandoKubernetes

aes-finder
Utility to find AES keys in running processes
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
ultimate-python
Ultimate Python study guide for newcomers and professionals alike. ? ? ?
sushiswap-frontend

pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
awesome-flutter
An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.
Interview_Question_for_Beginner
? ? Technical-Interview guidelines written for those who started studying programming. I wish you all the best. ?
free

talk
A group video call for the web. No signups. No downloads.
bitcoin
Bitcoin Core integration/staging tree
eleventy-high-performance-blog
A high performance blog template for the 11ty static site generator.
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
ghcide
A library for building Haskell IDE tooling
moon
? The minimal & fast library for functional user interfaces
jdk
JDK main-line development
Tasmota
Alternative firmware for ESP8266 with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full docum
Server
PanDownload的个人维护版本
a32nx
The A32NX Project is a community driven open source project to create a free Airbus A320neo in Microsoft Flight Simulator that is as close to reality as possible. It aims to enhance the default A320ne
keras
Deep Learning for humans
Red-Teaming-Toolkit
A collection of open source and commercial tools that aid in red team operations.
data-engineer-roadmap
Roadmap to becoming a data engineer in 2020
hivemind
Decentralized deep learning framework in pytorch. Built to train models on thousands of volunteers across the world.
scipio
Scipio is a thread-per-core framework that aims to make the task of writing highly parallel asynchronous application in a thread-per-core architecture easier for rustaceans
hoppscotch
? A free, fast and beautiful API request builder used by 75k+ developers. https://hoppscotch.io
Wav2Lip
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.
KingOfBugBountyTips

autoscraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
100-nlp-papers
100 Must-Read NLP Papers
croc
Easily and securely send things from one computer to another ? ?
spark-nlp
State of the Art Natural Language Processing
display-switch
Turn a $30 USB switch into a full-featured multi-monitor KVM switch
surpriver
Find big moving stocks before they move using machine learning and anomaly detection
flink-learning
flink learning blog. http://www.flink-learning.com 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监
deeplearning-models
A collection of various deep learning architectures, models, and tips
fes.js
Fes.js 是一个管理台应用解决方案,提供初始项目、开发调试、编译打包的命令行工具,内置布局、权限、数据字典、状态管理、Api等多个模块,文件目录结构即路由,用户只需要编写页面内容。基于Vue.js,内置管理台常用能力,让用户写的更少,更简单。经过多个项目中打磨,趋于稳定。
stitches
The modern styling library. Near-zero runtime, server-side rendering, multi-variant support, and best-in-class developer experience.
18S191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia
grafana
The tool for beautiful monitoring and metric analytics & dashboards for Graphite, InfluxDB & Prometheus & More
fortify

jetstream

scikit-learn-tips
?⚡ Daily scikit-learn tips
12306
12306智能刷票,订票
desafio-6-2020

30-seconds-of-code
Short JavaScript code snippets for all your development needs
gdal
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
toBeTopJavaer
To Be Top Javaer - Java工程师成神之路
companies-sponsoring-visas
A list of companies that sponsor employees from other countries.
howtheytest
A collection of public resources about how software companies test their software
bicep

htop
htop - an interactive process viewer
portainer
Making Docker management easy.
gorm
The fantastic ORM library for Golang, aims to be developer friendly
SuperPower
Here you should find the best power supplies for your low-power projects
CompEcon2020
Computational Economics Course 2020 by Kenneth Judd
vimac
Vimium for macOS.
Windows10Debloater
Script to remove Windows 10 bloatware.
HowToHunt
Some Tutorials and Things to Do while Hunting That Vulnerability.
Hack-Tools
The all-in-one Red Team extension for Web Pentester ?
KingOfBugBountyTips

Showkase
? Showkase is an annotation-processor based Android library that helps you organize, discover, search and visualize Jetpack Compose UI elements
webrtc-for-the-curious
WebRTC for the Curious: Go beyond the APIs
matplotplusplus
Matplot++: A C++ Graphics Library for Data Visualization ??
Flutter-Course-Resources
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
flutter-development-roadmap
Flutter App Developer Roadmap - A complete roadmap to learn Flutter App Development. I tried to learn flutter using this roadmap. If you want to add something please contribute to the project. Happy L
objax

sushiswap
? SushiSwap smart contracts
Cloudreve
?支持多家云存储的云盘系统 (A project helps you build your own cloud in minutes)
learn-python
? Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Python-programming-exercises
100+ Python challenging programming exercises
learn-python3
Jupyter notebooks for teaching/learning Python 3
vscode-debug-visualizer
An extension for VS Code that visualizes data during debugging.
rapier
2D and 3D physics engines focused on performances.
project-guidelines
A set of best practices for JavaScript projects
d3
Bring data to life with SVG, Canvas and HTML. ???
OpenBot
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones suppo
speakeasy
Windows kernel and user mode emulation.
Learn-Vim
A book for learning the Vim editor
maratona-fullcycle-4

arwes
Futuristic Sci-Fi and Cyberpunk Graphical User Interface Framework for Web Apps
gitignore
A collection of useful .gitignore templates
black
The uncompromising Python code formatter
airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
shift-ctrl-f
? Search the information available on a webpage using natural language instead of an exact string match.
traefik
The Cloud Native Edge Router
TecoGAN
This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN
present
A terminal-based presentation tool with colors and effects.
gitpod
Gitpod is an open-source Kubernetes application providing prebuilt, collaborative development environments in your browser - powered by VS Code.
compose-samples

react-native-navigation
A complete native navigation solution for React Native
kubernetes-examples
Minimal self-contained examples of standard Kubernetes features and patterns in YAML
vscode
Visual Studio Code
cpp-httplib
A C++ header-only HTTP/HTTPS server and client library
AWS-SAA-C02-Course
Personal notes for SAA-C02 test from: https://learn.cantrill.io
clean-architecture-swiftui
A demo project showcasing the production setup of the SwiftUI app with Clean Architecture
Gooey
Turn (almost) any Python command line program into a full GUI application with one line
baiduwp-php
PanDownload网页复刻版
latexify_py
Generates LaTeX math description from Python functions.
open-source-cs-python

RAFT

volt-bootstrap-5-dashboard
⚡️ Volt Bootstrap 5 Admin Dashboard Template with vanilla Javascript
itlwm
Intel Wi-Fi Drivers
packer
Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
open-source-cs
Video discussing this curriculum:
nsfw-filter
A Google Chrome / Firefox extension that blocks NSFW images from the web pages that you load using TensorFlow JS.
sudoku-solver
Smart solution to solve sudoku in VR
desafio-4-2020

msfs-a320neo

mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
certified-kubernetes-administrator-course
Certified Kubernetes Administrator - CKA Course
everyones-guide-for-starting-up-on-wechat-network
微信互联网平民创业
manim
Animation engine for explanatory math videos
CS-Notes
我的自学笔记,在学习shell和MLSys,整理C++、算法、操作系统,后续学习分布式系统,终身更新。
egua
? Linguagem de programação simples e moderna em português
talent-plan
open source training courses about distributed database and distributed systemes
godot
Godot Engine – Multi-platform 2D and 3D game engine
desafio-3-2020

optuna
A hyperparameter optimization framework
Ventoy
A new bootable USB solution.
Alt-F4
Alternative Factorio Friday Fan Facts, also known as Alt-F4
awesome-made-by-brazilians
?? A collection of amazing open source projects built by brazilian developers
zig
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
cxx
Safe interop between Rust and C++
lireddit

chakra-ui
⚡️ Simple, Modular & Accessible UI Components for your React Applications
VancedManager
Vanced Installer
react-native-video
A
NYPD-Misconduct-Complaint-Database
This database is a record of NYPD misconduct complaints made by the public to the Civilian Complaint Review Board (CCRB).
awesome-django
A curated list of awesome things related to Django
Front-End-Checklist
? The perfect Front-End Checklist for modern websites and meticulous developers
fet.sh
a fetch written in posix shell without any external commands (linux only)
baiduwp
PanDownload Web, built with CloudFlare Workers
machine-learning-interview
Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
RSSHub
? Everything is RSSible
metamask-extension
? ? The MetaMask browser extension enables browsing Ethereum blockchain enabled websites
amplify-flutter
Amplify Framework provides a declarative and easy-to-use interface across different categories of cloud operations.
ent
An entity framework for Go
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
element3
(WIP)fork from ElemeFE/element ,A Vue.js 3.0 UI Toolkit for Web
posthog
? PostHog is developer-friendly, open-source product analytics.
awesome-hpp
A curated list of awesome header-only C++ libraries
fabric
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use
insight
Repository for Project Insight: NLP as a Service
omatsuri
Browser application with 9 open source frontend focused tools
InfoSpider
INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱?,旨在安全快捷的帮助用户拿回自己的数据,工具代码开源,流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、中国移动、中国联通、中国电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源
element-plus
A Vue.js 3.0 UI Toolkit for Web
autoscaler
Autoscaling components for Kubernetes
magento2
All Submissions you make to Magento Inc. ("Magento") through GitHub are subject to the following terms and conditions: (1) You grant Magento a perpetual, worldwide, non-exclusive, no charge, royalty f
ts-migrate
A tool to help migrate JavaScript code quickly and conveniently to TypeScript
ar-cutpaste
Cut and paste your surroundings using AR
chinese-programmer-wrong-pronunciation
中国程序员容易发音错误的单词
labs_campaigns

AdGuardHome
Network-wide ads & trackers blocking DNS server
COLA
Clean Object-oriented & Layered Architecture
Godzilla
哥斯拉
diagrams
? Diagram as Code for prototyping cloud system architectures
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
handcalcs
Python library for converting Python calculations into rendered latex.
mern-course-bootcamp
Complete Free Coding Bootcamp 2020 MERN Stack
handwritten.js
Convert typed text to realistic handwriting!
archivy
Archivy is a self-hosted knowledge repository that allows you to safely preserve useful content that contributes to your knowledge bank.
mall-swarm
mall-swarm是一套微服务商城系统,采用了 Spring Cloud Hoxton & Alibaba、Spring Boot 2.3、Oauth2、MyBatis、Docker、Elasticsearch等核心技术,同时提供了基于Vue的管理后台方便快速搭建系统。mall-swarm在电商业务的基础集成了注册中心、配置中心、监控中心、网关等系统功能。文档齐全,附带全套Spring Clou
umami
Umami is a simple, fast, website analytics alternative to Google Analytics.
nl-covid19-notification-app-android
Android sources for the Dutch Covid19 Notification App
contenidos
Material del curso IIC2233 Programación Avanzada ?
locast2plex
A very simple script to connect locast to Plex's live tv/dvr feature.
h1st
H1st AI solves the critical “cold-start” problem of Industrial AI: encoding human expertise to augment the lack of data, while building a smooth transition toward a machine-learning future. This probl
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Catch2
A modern, C++-native, header-only, test framework for unit-tests, TDD and BDD - using C++11, C++14, C++17 and later (or C++03 on the Catch1.x branch)
libra
Ergonomic machine learning.
annie
? Fast, simple and clean video downloader
spotMicro
Spot Micro Quadripeg Project
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
bootcamp-gostack-desafios
Repositório contendo todos os desafios dos módulos do Bootcamp Gostack
NoVmp
A static devirtualizer for VMProtect x64 3.x. powered by VTIL.
fullcalendar
Full-sized drag & drop event calendar
latexify_py
Generates LaTeX math description from Python functions.
vue-nodejs-youtube-clone
This is the frontend (VueJS) of the Youtube clone called VueTube.
youtube-clone-nodejs-api
VueTube is a YouTube clone built with nodejs, expressjs & mongodb. This is the RESTful API repository.
Behinder
“冰蝎”动态二进制加密网站管理客户端
low-level-design-primer

E-commerce-Complete-Flutter-UI

handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
aws-machine-learning-university-accelerated-tab

aws-machine-learning-university-accelerated-cv

mogollar
A MongoDB UI built with Electron
BespokeSynth
Software modular synth
desafio-1-2020

desafio-1-2020

kosmonaut
A web browser engine for the space age ?
aws-machine-learning-university-accelerated-nlp

fastbook
Draft of the fastai book
Hierarchical-Localization
Visual localization made easy
TypeScript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
Penetration_Testing_POC
渗透测试有关的POC、EXP、脚本、提权、小工具等,欢迎补充、完善---About penetration-testing python-script poc getshell csrf xss cms php-getshell domainmod-xss penetration-testing-poc csrf-webshell cobub-razor cve rce sql sql-poc p
God-Of-BigData
大数据面试题,大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...
OSCPRepo
A list of commands, scripts, resources, and more that I have gathered and attempted to consolidate for use as OSCP (and more) study material. Commands in 'Usefulcommands' Keepnote. Bookmarks and readi
drogon
Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows
papercups
Open-source live customer chat
jupyter-book
Build interactive, publication-quality documents from Jupyter Notebooks
awesome-java
Collection of awesome Java project on Github(Github 上非常棒的 Java 开源项目集合).
espflix
A free video streaming service that runs on a ESP32
servo
The Servo Browser Engine
halfmoon
Front-end framework with a built-in dark mode, designed for rapidly building beautiful dashboards and product pages.
eventnative
EventNative is an open-source data collection framework
go-github
Go library for accessing the GitHub API
yam-protocol
A stablizing reserve currency protocol
mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
sherlock
? Hunt down social media accounts by username across social networks
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
clean-code-javascript
? Clean Code concepts adapted for JavaScript
laravel-admin
Build a full-featured administrative interface in ten minutes
OpenJailbreak
GeoSn0w's OpenJailbreak Project, an open-source iOS 11 to iOS 13 Jailbreak project & vault.
azure-quickstart-templates
Azure Quickstart Templates
nodejs.dev
A new Node.js resource built using Gatsby.js with React.js, TypeScript, Emotion, and Remark.
KOOM
KOOM is an OOM killer on mobile platform by Kwai.
bevy
A refreshingly simple data-driven game engine built in Rust
eat_pytorch_in_20_days
Pytorch?? is delicious, just eat it! ??
datasets
? 2,000,000+ Unsplash images made available for research and machine learning
malwoverview
Malwoverview is a first response tool to perform an initial and quick triage in a directory containing malware samples, specific malware sample, suspect URL and domains. Additionally, it allows to dow
streisand
Streisand sets up a new server running your choice of WireGuard, OpenConnect, OpenSSH, OpenVPN, Shadowsocks, sslh, Stunnel, or a Tor bridge. It also generates custom instructions for all of these serv
LeetCode
LeetCode刷题记录
IntelOwl
Intel Owl: analyze files, domains, IPs in multiple ways from a single API at scale
archive-program
The GitHub Archive Program & Arctic Code Vault
rancher
Complete container management platform
Noctilucent
Using TLS 1.3 to evade censors, bypass network defenses, and blend in with the noise
data-science
? Path to a free self-taught education in Data Science!
FigmaToCode
Generate responsive pages and apps on Tailwind, Flutter and SwiftUI.
twitter-clone

my-arsenal-of-aws-security-tools
List of open source tools for AWS security: defensive, offensive, auditing, DFIR, etc.
InvoiceNet
Deep neural network to extract intelligent information from invoice documents.
macOS_Big_Sur_icons_replacements
Replacement icons for popular apps in the style of macOS Big Sur
AnimeGANv2
[Open Source]. The improved version of AnimeGAN.
bluezone-app
Bluezone - Bảo vệ mình, bảo vệ cộng đồng
awesome-sysadmin
A curated list of amazingly awesome open source sysadmin resources inspired by Awesome PHP.
facebook-scripts-dom-manipulation
An open-source project includes many scripts with no Access Token needed for Facebook users by directly manipulating the DOM.
MCinaBox
MCinaBox - A Minecraft Java Edition Launcher on Android
ai-economist
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcemen
TikTok-Shares-Botter
Adds TikTok Shares for you.
prefect
The easiest way to automate your data
tuya-convert
A collection of scripts to flash Tuya IoT devices to alternative firmwares
crush
Crush is an attempt to make a command line shell that is also a powerful modern programming language.
pyre-check
Performant type-checking for python.
polkadot
Polkadot Node Implementation
incyber

mesh
Cloud native service mesh for the rest of us.
V2rayU
V2rayU,基于v2ray核心的mac版客户端,用于科学上网,使用swift编写,支持vmess,shadowsocks,socks5等服务协议,支持订阅, 支持二维码,剪贴板导入,手动配置,二维码分享等
TLS-poison

heroicons
A set of free MIT-licensed high-quality SVG icons for UI development.
react-native
A framework for building native apps with React.
gui.cs
Console-based user interface toolkit for .NET applications.
Atlas
Atlas: End-to-End 3D Scene Reconstruction from Posed Images
aws-sdk-go
AWS SDK for the Go programming language.
charts
Curated applications for Kubernetes
pybind11
Seamless operability between C++11 and Python
mediapipe
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
proffy-discovery
A proposta do projeto é uma aplicação que possa ligar quem deseja aprender, com quer ensinar. É possível encontrar alunos para o que você leciona, ou encontrar o professor para aquela matéria que você
mixer
Add-on for real-time collaboration in Blender.
iOS-DeviceSupport
This repository holds the device support files for the iOS, and I will update it regularly.
simdjson
Parsing gigabytes of JSON per second
amplify-js
A declarative JavaScript library for application development using cloud services.
lottie-ios
An iOS library to natively render After Effects vector animations
Faze4-Robotic-arm
All files for 6 axis robot arm with cycloidal gearboxes .
xiaobaiyang

Javascript
A repository for All algorithms implemented in Javascript (for educational purposes only)
blog-post-workflow
Show your latest blog posts from any sources or StackOverflow activity on your GitHub profile/project readme automatically using the RSS feed
reverse-interview
Questions to ask the company during your interview
expo
An open-source platform for making universal native apps with React. Expo runs on Android, iOS, and the web.
955.WLB
955 不加班的公司名单 - 工作 955,work–life balance (工作与生活的平衡)
A-to-Z-Resources-for-Students
✅ Curated list of resources for college students
TDengine
An open-source big data platform designed and optimized for the Internet of Things (IoT).
django-jazzmin
Jazzy theme for Django
full-stack-fastapi-postgresql
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
Reflection_Summary
算法理论基础知识应知应会
Best-websites-a-programmer-should-visit
? Some useful websites for programmers.
bpytop
Linux/OSX/FreeBSD resource monitor
TelemetrySourcerer
Enumerate and disable common sources of telemetry used by AV/EDR.
instagrabber
InstaGrabber, the open-source Instagram client for Android. Originally by @AwaisKing.
pe_tree

Powershell-Scripts
Helpful list of powershell scripts I have found/created
drawio
Source to app.diagrams.net
analytics
Simple and privacy-friendly alternative to Google Analytics
pycaret
An open source, low-code machine learning library in Python
Ciphey
Automated decryption tool
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
ps4-ipv6-uaf

UNSAM_2020c2_Python
Curso de programación en Python - 2do cuatrimestre 2020 - UNSAM
gpu.js
GPU Accelerated JavaScript
how-to-secure-anything
How to systematically secure anything: a repository about security engineering
paperview
A high performance X11 animated wallpaper setter
core
? JAVClub - 让你的大姐姐不再走丢
home-cloud
The "cloud" at home
haoel.github.io

InstaPy
? Instagram Bot - Tool for automated Instagram interactions
bat
A cat(1) clone with wings.
DeOldify
A Deep Learning based project for colorizing and restoring old images (and video!)
educative.io_courses
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
rustlings
? Small exercises to get you used to reading and writing Rust code!
trackerslist
Updated list of public BitTorrent trackers
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
mobile
React Native client application for COVID Shield on iOS and Android
binary_search
A collection of improved binary search algorithms.
mirai

TapTap
Port of the double tap on back of device feature from Android 11 to any armv8 Android device
complete-javascript-course
Starter files, final projects and FAQ for my Complete JavaScript course
icons
Official open source SVG icon library for Bootstrap.
oneflow
OneFlow is a performance-centered and open-source deep learning framework.
ml-engineer-roadmap
WIP: Roadmap to becoming a machine learning engineer in 2020
hvmi
Hypervisor Memory Introspection Core Library
fhe-toolkit-linux
IBM Fully Homomorphic Encryption Toolkit For Linux
teenyicons
Tiny minimal 1px icons designed to fit in the smallest places.
project-citadel
An open source project management tool with Kanban boards
covid-alert-app
Exposure notification client application / Application client de notification d'exposition
ChromeAppHeroes
?谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~ 公众号「0加1」同步更新
SSPanel-Uim
SSPanel V3 魔改再次修改版
UnusualVolumeDetector
Gets the last 5 months of volume history for every ticker, and alerts you when a stock's volume exceeds 10 standard deviations from the mean within the last 3 days
formik
Build forms in React, without the tears ?
learn-cantrill-io-labs
Standard and Advanced Demos for learn.cantrill.io courses
TransCoder
Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf
bounty-targets-data
This repo contains hourly-updated data dumps of bug bounty platform scopes (like Hackerone/Bugcrowd/Intigriti/etc) that are eligible for reports
CtCI-6th-Edition
Cracking the Coding Interview 6th Ed. Solutions
windows95
?? Windows 95 in Electron. Runs on macOS, Linux, and Windows.
SkyArk
SkyArk helps to discover, assess and secure the most privileged entities in Azure and AWS
interviews
Everything you need to know to get the job.
Android-Analysis
Getting Genymotion & Burpsuite setup for Android Mobile App Analysis
detext
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
awesome-java
A curated list of awesome frameworks, libraries and software for the Java programming language.
workflow

tye
Tye is a tool that makes developing, testing, and deploying microservices and distributed applications easier. Project Tye includes a local orchestrator to make developing microservices easier and the
java-design-patterns
Design patterns implemented in Java
java8-tutorial
Modern Java - A Guide to Java 8
generator-jhipster
JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures.
stayaway-app
Official repository for the STAYAWAY COVID mobile application
api-guidelines
Microsoft REST API Guidelines
win10script
This is the Ultimate Windows 10 Script from a creation from multiple debloat scripts and gists from github.
tutorials
Just Announced - "Learn Spring Security OAuth":
Otto
Otto makes machine learning an intuitive, natural language experience.? Facebook AI Challenge winner
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
laravel-best-practices
Laravel best practices
hiring-without-whiteboards
⭐️ Companies that don't have a broken hiring process
PyTorch_YOLOv4
PyTorch implementation of YOLOv4
macintosh.js
A virtual Apple Macintosh with System 8, running in Electron. I'm sorry.
QuickCut
Your most handy video processing software
Super-mario-bros-PPO-pytorch
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficien
swift
The Swift Programming Language
flutter
Flutter makes it easy and fast to build beautiful apps for mobile and beyond.
pikvm
Open and cheap DIY IP-KVM based on Raspberry Pi
ILSpy
.NET Decompiler with support for PDB generation, ReadyToRun, Metadata (&more) - cross-platform!
aluraflix
⚛️ Projeto feito durante a Imersão React da Alura
starship
☄?️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
leonsans
Leon Sans is a geometric sans-serif typeface made with code in 2019 by Jongmin Kim.
MCVmComputers
Order computer parts from a satellite orbiting around your minecraft world and build actual working computers with them!

deep-learning-drizzle

LINK
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

:balloon: :tada: Deep Learning Drizzle :confetti_ball: :balloon:

:books: "Read enough so you start developing intuitions and then trust your intuitions and go for it!" :books: ​
Prof. Geoffrey Hinton, University of Toronto

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

Contents

:heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

Deep Learning (Deep Neural Networks) :arrow_heading_down: Probabilistic Graphical Models :arrow_heading_down:
Machine Learning Fundamentals :arrow_heading_down: Natural Language Processing :arrow_heading_down:
Optimization for Machine Learning :arrow_heading_down: Automatic Speech Recognition :arrow_heading_down:
General Machine Learning :arrow_heading_down: Modern Computer Vision :arrow_heading_down:
Reinforcement Learning :arrow_heading_down: Boot Camps or Summer Schools :arrow_heading_down:
Bayesian Deep Learning :arrow_heading_down: Medical Imaging :arrow_heading_down:
Graph Neural Networks :arrow_heading_down: Bird's-eye view of Artificial Intelligence :arrow_heading_down:

:heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:tada: Deep Learning (Deep Neural Networks) :confetti_ball: :balloon:

:heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

S.No Course Name University/Instructor(s) Course WebPage Lecture Videos Year
1. Neural Networks for Machine Learning Geoffrey Hinton, University of Toronto Lecture-Slides
CSC321-tijmen
YouTube-Lectures
UofT-mirror
2012
2014
2. Neural Networks Demystified Stephen Welch, Welch Labs Suppl. Code YouTube-Lectures 2014
3. Deep Learning at Oxford Nando de Freitas, Oxford University Oxford-ML YouTube-Lectures 2015
4. Deep Learning for Perception Dhruv Batra, Virginia Tech ECE-6504 YouTube-Lectures 2015
5. Deep Learning Ali Ghodsi, University of Waterloo STAT-946 YouTube-Lectures F2015
6. CS231n: CNNs for Visual Recognition Andrej Karpathy, Stanford University CS231n None 2015
7. CS224d: Deep Learning for NLP Richard Socher, Stanford University CS224d YouTube-Lectures 2015
8. Bay Area Deep Learning Many legends, Stanford None YouTube-Lectures 2016
9. CS231n: CNNs for Visual Recognition Andrej Karpathy, Stanford University CS231n YouTube-Lectures
(Academic Torrent)
2016
10. Neural Networks Hugo Larochelle, Université de Sherbrooke Neural-Networks YouTube-Lectures
(Academic Torrent)
2016
11. CS224d: Deep Learning for NLP Richard Socher, Stanford University CS224d YouTube-Lectures
(Academic Torrent)
2016
12. CS224n: NLP with Deep Learning Richard Socher, Stanford University CS224n YouTube-Lectures 2017
13. CS231n: CNNs for Visual Recognition Justin Johnson, Stanford University CS231n YouTube-Lectures
(Academic Torrent)
2017
14. Topics in Deep Learning Ruslan Salakhutdinov, CMU 10707 YouTube-Lectures F2017
15. Deep Learning Crash Course Leo Isikdogan, UT Austin None YouTube-Lectures 2017
16. Deep Learning and its Applications François Pitié, Trinity College Dublin EE4C16 YouTube-Lectures 2017
17. Deep Learning Andrew Ng, Stanford University CS230 YouTube-Lectures 2018
18. UvA Deep Learning Efstratios Gavves, University of Amsterdam UvA-DLC Lecture-Videos 2018
19. Advanced Deep Learning and Reinforcement Learning Many legends, DeepMind None YouTube-Lectures 2018
20. Machine Learning Peter Bloem, Vrije Universiteit Amsterdam MLVU YouTube-Lectures 2018
21. Deep Learning Francois Fleuret, EPFL EE-59 Video-Lectures 2018
22. Introduction to Deep Learning Alexander Amini, Harini Suresh and others, MIT 6.S191 YouTube-Lectures
2017-version
2017- 2019
23. Deep Learning for Self-Driving Cars Lex Fridman, MIT 6.S094 YouTube-Lectures 2017-2018
24. Introduction to Deep Learning Bhiksha Raj and many others, CMU 11-485/785 YouTube-Lectures S2018
25. Introduction to Deep Learning Bhiksha Raj and many others, CMU 11-485/785 YouTube-Lectures Recitation-Inclusive F2018
26. Deep Learning Specialization Andrew Ng, Stanford DL.AI YouTube-Lectures 2017-2018
27. Deep Learning Ali Ghodsi, University of Waterloo STAT-946 YouTube-Lectures F2017
28. Deep Learning Mitesh Khapra, IIT-Madras CS7015 YouTube-Lectures 2018
29. Deep Learning for AI UPC Barcelona DLAI-2017
DLAI-2018
YouTube-Lectures 2017-2018
30. Deep Learning Alex Bronstein and Avi Mendelson, Technion CS236605 YouTube-Lectures 2018
31. MIT Deep Learning Many Researchers, Lex Fridman, MIT 6.S094, 6.S091, 6.S093 YouTube-Lectures 2019
32. Deep Learning Book companion videos Ian Goodfellow and others DL-book slides YouTube-Lectures 2017
33. Theories of Deep Learning Many Legends, Stanford Stats-385 YouTube-Lectures
(first 10 lectures)
F2017
34. Neural Networks Grant Sanderson None YouTube-Lectures 2017-2018
35. CS230: Deep Learning Andrew Ng, Kian Katanforoosh, Stanford CS230 YouTube-Lectures A2018
36. Theory of Deep Learning Lots of Legends, Canary Islands DALI'18 YouTube-Lectures 2018
37. Introduction to Deep Learning Alex Smola, UC Berkeley Stat-157 YouTube-Lectures S2019
38. Deep Unsupervised Learning Pieter Abbeel, UC Berkeley CS294-158 YouTube-Lectures S2019
39. Machine Learning Peter Bloem, Vrije Universiteit Amsterdam MLVU YouTube-Lectures 2019
40. Deep Learning on Computational Accelerators Alex Bronstein and Avi Mendelson, Technion CS236605 YouTube-Lectures S2019
41. Introduction to Deep Learning Bhiksha Raj and many others, CMU 11-785 YouTube-Lectures S2019
42. Introduction to Deep Learning Bhiksha Raj and many others, CMU 11-785 YouTube-Lectures
Recitations
F2019
43. UvA Deep Learning Efstratios Gavves, University of Amsterdam UvA-DLC Lecture-Videos S2019
44. Deep Learning Prabir Kumar Biswas, IIT Kgp None YouTube-Lectures 2019
45. Deep Learning and its Applications Aditya Nigam, IIT Mandi CS-671 YouTube-Lectures 2019
46. Neural Networks Neil Rhodes, Harvey Mudd College CS-152 YouTube-Lectures F2019
47. Deep Learning Thomas Hofmann, ETH Zürich DAL-DL Lecture-Videos F2019
48. Deep Learning Milan Straka, Charles University NPFL114 Lecture-Videos S2019
49. UvA Deep Learning Efstratios Gavves, University of Amsterdam UvA-DLC-19 Lecture-Videos F2019
50. Artificial Intelligence: Principles and Techniques Percy Liang and Dorsa Sadigh, Stanford University CS221 YouTube-Lectures F2019
51. Deep Learning Foundations and Applications Debdoot Sheet and Sudeshna Sarkar, IIT-Kgp AI61002 YouTube-Lectures S2020
52. Designing, Visualizing, and Understanding Deep Neural Networks John Canny, UC Berkeley CS 182/282A YouTube-Lectures S2020
53. Deep Learning Yann LeCun and Alfredo Canziani, NYU DS-GA 1008 YouTube-Lectures S2020
54. Introduction to Deep Learning Bhiksha Raj, CMU 11-785 YouTube-Lectures S2020
55. Deep Unsupervised Learning Pieter Abbeel, UC Berkeley CS294-158 YouTube-Lectures S2020
56. Machine Learning Peter Bloem, Vrije Universiteit Amsterdam VUML YouTube-Lectures S2020
57. Deep Learning (with PyTorch) Alfredo Canziani and Yann LeCun, NYU DS-GA 1008 YouTube-Lectures S2020
58. Introduction to Deep Learning and Generative Models Sebastian Raschka, UW-Madison Stat453 YouTube-Lectures S2020
59. Deep Learning Andreas Maier, FAU Erlangen-Nürnberg DL-2020 YouTube-Lectures
Lecture-Videos
SS2020
60. Introduction to Deep Learning Laura Leal-Taixé and Matthias Niessner, TU-München I2DL-IN2346 YouTube-Lectures SS2020
61. Deep Learning Sargur Srihari, SUNY-Buffalo CSE676 YouTube-Lectures-P1
YouTube-Lectures-P2
2020
62. Deep Learning Lecture Series Lots of Legends, DeepMind x UCL, London None YouTube-Lectures 2020
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:cupid: Machine Learning Fundamentals :cyclone: :boom:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course Webpage Video Lectures Year
1. Linear Algebra Gilbert Strang, MIT 18.06 SC YouTube-Lectures 2011
2. Probability Primer Jeffrey Miller, Brown University mathematical monk YouTube-Lectures 2011
3. Information Theory, Pattern Recognition, and Neural Networks David Mackay, University of Cambridge ITPRNN YouTube-Lectures 2012
4. Linear Algebra Review Zico Kolter, CMU LinAlg YouTube-Lectures 2013
5. Probability and Statistics Michel van Biezen None YouTube-Lectures 2015
6. Linear Algebra: An in-depth Introduction Pavel Grinfeld None Part-1
Part-2
Part-3
Part-4
2015- 2017
7. Multivariable Calculus Grant Sanderson, Khan Academy None YouTube-Lectures 2016
8. Essence of Linear Algebra Grant Sanderson None YouTube-Lectures 2016
9. Essence of Calculus Grant Sanderson None YouTube-Lectures 2017-2018
10. Math Background for Machine Learning Geoff Gordon, CMU 10-606, 10-607 YouTube-Lectures F2017
11. Mathematics for Machine Learning (Linear Algebra, Calculus) David Dye, Samuel Cooper, and Freddie Page, IC-London MML YouTube-Lectures 2018
12. Multivariable Calculus S.K. Gupta and Sanjeev Kumar, IIT-Roorkee MVC YouTube-Lectures 2018
13. Engineering Probability Rich Radke, Rensselaer Polytechnic Institute None YouTube-Lectures 2018
14. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning Gilbert Strang, MIT 18.065 YouTube-Lectures S2018
15. Math Camp Mark Walker, University of Arizona UAMathCamp / Econ-519 YouTube-Lectures 2019
16. A 2020 Vision of Linear Algebra Gilbert Strang, MIT VoLA YouTube-Lectures S2020
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:cupid: Optimization for Machine Learning :cyclone: :boom:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course Webpage Video Lectures Year
1. Convex Optimization Stephen Boyd, Stanford University ee364a YouTube-Lectures 2008
2. Introduction to Optimization Michael Zibulevsky, Technion CS-236330 YouTube-Lectures 2009
3. Optimization for Machine Learning S V N Vishwanathan, Purdue University None YouTube-Lectures 2011
4. Optimization Geoff Gordon & Ryan Tibshirani, CMU 10-725 YouTube-Lectures 2012
5. Convex Optimization Joydeep Dutta, IIT-Kanpur cvx-nptel YouTube-Lectures 2013
6. Foundations of Optimization Joydeep Dutta, IIT-Kanpur fop-nptel YouTube-Lectures 2014
7. Algorithmic Aspects of Machine Learning Ankur Moitra, MIT 18.409-AAML YouTube-Lectures S2015
8. Numerical Optimization Shirish K. Shevade, IISC None YouTube-Lectures 2015
9. Convex Optimization Ryan Tibshirani, CMU 10-725 YouTube-Lectures S2015
10. Convex Optimization Ryan Tibshirani, CMU 10-725 YouTube-Lectures F2015
11. Advanced Algorithms Ankur Moitra, MIT 6.854-AA YouTube-Lectures S2016
12. Introduction to Optimization Michael Zibulevsky, Technion None YouTube-Lectures 2016
13. Convex Optimization Javier Peña & Ryan Tibshirani 10-725/36-725 YouTube-Lectures F2016
14. Convex Optimization Ryan Tibshirani, CMU 10-725 YouTube-Lectures
Lecture-Videos
F2018
15. Modern Algorithmic Optimization Yurii Nesterov, UCLouvain None YouTube-Lectures 2018
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:cupid: General Machine Learning :cyclone: :boom:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course Webpage Video Lectures Year
1. CS229: Machine Learning Andrew Ng, Stanford University CS229-old
CS229-new
YouTube-Lectures 2007
2. Machine Learning Jeffrey Miller, Brown University mathematical monk YouTube-Lectures 2011
3. Machine Learning Tom Mitchell, CMU 10-701 Lecture-Videos 2011
4. Machine Learning and Data Mining Nando de Freitas, University of British Columbia CPSC-340 YouTube-Lectures 2012
5. Learning from Data Yaser Abu-Mostafa, CalTech CS156 YouTube-Lectures 2012
6. Machine Learning Rudolph Triebel, Technische Universität München Machine Learning YouTube-Lectures 2013
7. Introduction to Machine Learning Alex Smola, CMU 10-701 YouTube-Lectures 2013
8. Introduction to Machine Learning Alex Smola and Geoffrey Gordon, CMU 10-701x YouTube-Lectures 2013
9. Pattern Recognition Sukhendu Das, IIT-M and C.A. Murthy, ISI-Calcutta PR-NPTEL YouTube-Lectures 2014
10. An Introduction to Statistical Learning with Applications in R Trevor Hastie and Robert Tibshirani, Stanford stat-learn
R-bloggers
YouTube-Lectures 2014
11. Introduction to Machine Learning Katie Malone, Sebastian Thrun, Udacity ML-Udacity YouTube-Lectures 2015
12. Introduction to Machine Learning Dhruv Batra, Virginia Tech ECE-5984 YouTube-Lectures 2015
13. Statistical Learning - Classification Ali Ghodsi, University of Waterloo STAT-441 YouTube-Lectures 2015
14. Machine Learning Theory Shai Ben-David, University of Waterloo None YouTube-Lectures 2015
15. Introduction to Machine Learning Alex Smola, CMU 10-701 YouTube-Lectures S2015
16. Statistical Machine Learning Larry Wasserman, CMU None YouTube-Lectures S2015
17. ML: Supervised Learning Michael Littman, Charles Isbell, Pushkar Kolhe, GaTech ML-Udacity YouTube-Lectures 2015
18. ML: Unsupervised Learning Michael Littman, Charles Isbell, Pushkar Kolhe, GaTech ML-Udacity YouTube-Lectures 2015
19. Advanced Introduction to Machine Learning Barnabas Poczos and Alex Smola 10-715 YouTube-Lectures F2015
20. Machine Learning Pedro Domingos, UWashington CSEP-546 YouTube-Lectures S2016
21. Statistical Machine Learning Larry Wasserman, CMU None YouTube-Lectures S2016
22. Machine Learning with Large Datasets William Cohen, CMU 10-605 YouTube-Lectures F2016
23. Math Background for Machine Learning Geoffrey Gordon, CMU 10-600 YouTube-Lectures F2016
24. Statistical Learning - Classification Ali Ghodsi, University of Waterloo None YouTube-Lectures 2017
25. Machine Learning Andrew Ng, Stanford University Coursera-ML YouTube-Lectures 2017
26. Machine Learning Roni Rosenfield, CMU 10-601 YouTube-Lectures 2017
27. Statistical Machine Learning Ryan Tibshirani, Larry Wasserman, CMU 10-702 YouTube-Lectures S2017
28. Machine Learning for Computer Vision Fred Hamprecht, Heidelberg University None YouTube-Lectures F2017
29. Math Background for Machine Learning Geoffrey Gordon, CMU 10-606 / 10-607 YouTube-Lectures F2017
30. Data Visualization Ali Ghodsi, University of Waterloo None YouTube-Lectures 2017
31. Machine Learning for Physicists Florian Marquardt, Uni Erlangen-Nürnberg ML4Phy-17 Lecture-Videos 2017
32. Machine Learning for Intelligent Systems Kilian Weinberger, Cornell University CS4780 YouTube-Lectures F2018
33. Statistical Learning Theory and Applications Tomaso Poggio, Lorenzo Rosasco, Sasha Rakhlin 9.520/6.860 YouTube-Lectures F2018
34. Machine Learning and Data Mining Mike Gelbart, University of British Columbia CPSC-340 YouTube-Lectures 2018
35. Foundations of Machine Learning David Rosenberg, Bloomberg FOML YouTube-Lectures 2018
36. Introduction to Machine Learning Andreas Krause, ETH Zürich IntroML YouTube-Lectures 2018
37. Machine Learning Fundamentals Sanjoy Dasgupta, UC-San Diego MLF-slides YouTube-Lectures 2018
38. Machine Learning Jordan Boyd-Graber, University of Maryland CMSC-726 YouTube-Lectures 2015-2018
39. Machine Learning Andrew Ng, Stanford University CS229 YouTube-Lectures 2018
40. Machine Intelligence H.R.Tizhoosh, UWaterloo SYDE-522 YouTube-Lectures 2019
41. Introduction to Machine Learning Pascal Poupart, University of Waterloo CS480/680 YouTube-Lectures S2019
42. Advanced Machine Learning Thorsten Joachims, Cornell University CS-6780 Lecture-Videos S2019
43. Machine Learning for Structured Data Matt Gormley, Carnegie Mellon University 10-418/10-618 YouTube-Lectures F2019
44. Advanced Machine Learning Joachim Buhmann, ETH Zürich ML2-AML Lecture-Videos F2019
45. Machine Learning for Signal Processing Vipul Arora, IIT-Kanpur MLSP Lecture-Videos F2019
46. Foundations of Machine Learning Animashree Anandkumar, CalTech CMS-165 YouTube-Lectures 2019
47. Machine Learning for Physicists Florian Marquardt, Uni Erlangen-Nürnberg None Lecture-Videos 2019
48. Applied Machine Learning Andreas Müller, Columbia University COMS-W4995 YouTube-Lectures 2019
49. Foundations of Machine Learning and Statistical Inference Animashree Anandkumar, CalTech CMS-165 YouTube-Lectures 2020
50. Applied Machine Learning Andreas Müller, Columbia University COMS-W4995 YouTube-Lectures S2020
51. Statistical Machine Learning Ulrike von Luxburg, Eberhard Karls Universität Tübingen Stat-ML YouTube-Lectures SS2020
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:balloon: Reinforcement Learning :hotsprings: :video_game:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course Webpage Video Lectures Year
1. Short Course on Reinforcement Learning Satinder Singh, UMichigan None YouTube-Lectures 2011
2. Approximate Dynamic Programming Dimitri P. Bertsekas, MIT Lecture-Slides YouTube-Lectures 2014
3. Introduction to Reinforcement Learning David Silver, DeepMind UCL-RL YouTube-Lectures 2015
4. Reinforcement Learning Charles Isbell, Chris Pryby, GaTech; Michael Littman, Brown RL-Udacity YouTube-Lectures 2015
5. Reinforcement Learning Balaraman Ravindran, IIT Madras RL-IITM YouTube-Lectures 2016
6. Deep Reinforcement Learning Sergey Levine, UC Berkeley CS-294 YouTube-Lectures S2017
7. Deep Reinforcement Learning Sergey Levine, UC Berkeley CS-294 YouTube-Lectures F2017
8. Deep RL Bootcamp Many legends, UC Berkeley Deep-RL YouTube-Lectures 2017
9 Data Efficient Reinforcement Learning Lots of Legends, Canary Islands DERL-17 YouTube-Lectures 2017
10. Deep Reinforcement Learning Sergey Levine, UC Berkeley CS-294-112 YouTube-Lectures 2018
11. Reinforcement Learning Pascal Poupart, University of Waterloo CS-885 YouTube-Lectures 2018
12. Deep Reinforcement Learning and Control Katerina Fragkiadaki and Tom Mitchell, CMU 10-703 YouTube-Lectures 2018
13. Reinforcement Learning and Optimal Control Dimitri Bertsekas, Arizona State University RLOC Lecture-Videos 2019
14. Reinforcement Learning Emma Brunskill, Stanford University CS234 YouTube-Lectures 2019
15. Reinforcement Learning Day Lots of Legends, Microsoft Research, New York RLD-19 YouTube-Lectures 2019
16. New Directions in Reinforcement Learning and Control Lots of Legends, IAS, Princeton University NDRLC-19 YouTube-Lectures 2019
17. Deep Reinforcement Learning Sergey Levine, UC Berkeley CS285 YouTube-Lectures F2019
18. Deep Multi-Task and Meta Learning Chelsea Finn, Stanford University CS330 YouTube-Lectures F2019
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:loudspeaker: Probabilistic Graphical Models :sparkles:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course WebPage Lecture Videos Year
1. Probabilistic Graphical Models Many Legends, MPI-IS MLSS-Tuebingen YouTube-Lectures 2013
2. Probabilistic Modeling and Machine Learning Zoubin Ghahramani, University of Cambridge WUST-Wroclaw YouTube-Lectures 2013
3. Probabilistic Graphical Models Eric Xing, CMU 10-708 YouTube-Lectures 2014
4. Learning with Structured Data: An Introduction to Probabilistic Graphical Models Christoph Lampert, IST Austria None YouTube-Lectures 2016
5. Probabilistic Graphical Models Nicholas Zabaras, University of Notre Dame PGM YouTube-Lectures 2018
6. Probabilistic Graphical Models Eric Xing, CMU 10-708 Lecture-Videos
YouTube-Lectures
S2019
7. Probabilistic Graphical Models Eric Xing, CMU 10-708 YouTube-Lectures S2020
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:game_die: Bayesian Deep Learning :spades: :gem:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course WebPage Lecture Videos Year
1. Bayesian Neural Networks, Variational Inference Lots of Legends None YouTube-Lectures 2014-now
2. Variational Inference Chieh Wu, Northeastern University None YouTube-Lectures 2015
3. Deep Learning and Bayesian Methods Lots of Legends, HSE Moscow DLBM-SS YouTube-Lectures 2018
4. Deep Learning and Bayesian Methods Lots of Legends, HSE Moscow DLBM-SS YouTube-Lectures 2019
5. Nordic Probabilistic AI Lots of Legends, NTNU, Trondheim ProbAI YouTube-Lectures 2019
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:movie_camera: Medical Imaging :camera: :video_camera:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course WebPage Lecture Videos Year
1. Medical Imaging Summer School Lots of Legends, Sicily MISS-14 YouTube-Lectures 2014
2. Biomedical Image Analysis Summer School Lots of Legends, Paris None YouTube-Lectures 2015
3. Medical Imaging Summer School Lots of Legends, Sicily MISS-16 YouTube-Lectures 2016
4. OPtical and UltraSound imaging - OPUS Lots of Legends, Université de Lyon, France OPUS'16 YouTube-Lectures 2016
5. Medical Imaging Summer School Lots of Legends, Sicily MISS-18 YouTube-Lectures 2018
6. Deep Learning and Medical Applications Lots of Legends, IPAM, UCLA DLM-20 Lecture-Videos 2020
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:tada: Graph Neural Networks (Geometric DL) :confetti_ball: :balloon:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course WebPage Lecture Videos Year
1. Deep learning on graphs and manifolds Michael Bronstein, Technion None YouTube-Lectures 2017
2. Geometric Deep Learning on Graphs and Manifolds Michael Bronstein, Technische Universität München None Lec-part1,
Lec-part2
2017
3. Eurographics Symposium on Geometry Processing - Graduate School Lots of Legends, SIGGRAPH, London SGP-2017 YouTube-Lectures 2017
4. Eurographics Symposium on Geometry Processing - Graduate School Lots of Legends, SIGGRAPH, Paris SGP-2018 YouTube-Lectures 2018
5. Geometry and Learning from Data in 3D and Beyond -Geometry and Learning from Data Tutorials Lots of Legends, IPAM UCLA GLDT Lecture-Videos 2019
6. Geometry and Learning from Data in 3D and Beyond - Geometric Processing Lots of Legends, IPAM UCLA GeoPro Lecture-Videos 2019
7. Geometry and Learning from Data in 3D and Beyond - Shape Analysis Lots of Legends, IPAM UCLA Shape-Analysis Lecture-Videos 2019
8. Geometry and Learning from Data in 3D and Beyond - Geometry of Big Data Lots of Legends, IPAM UCLA Geo-BData Lecture-Videos 2019
9. Geometry and Learning from Data in 3D and Beyond - Deep Geometric Learning of Big Data and Applications Lots of Legends, IPAM UCLA DGL-BData Lecture-Videos 2019
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:hibiscus: Natural Language Processing :cherry_blossom: :sparkling_heart:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course WebPage Lecture Videos Year
1. Computational Linguistics I Jordan Boyd-Graber, University of Maryland CMS-723 YouTube-Lectures 2013-2018
2. Deep Learning for Natural Language Processing Nils Reimers, TU Darmstadt DL4NLP YouTube-Lectures 2015-2017
3. Deep Learning for Natural Language Processing Many Legends, DeepMind-Oxford DL-NLP YouTube-Lectures 2017
4. Deep Learning for Speech & Language UPC Barcelona DL-SL Lecture-Videos 2017
5. Neural Networks for Natural Language Processing Graham Neubig, CMU NN4NLP Code YouTube-Lectures 2017
6. Neural Networks for Natural Language Processing Graham Neubig, CMU NN4-NLP YouTube-Lectures 2018
7. Deep Learning for NLP Min-Yen Kan, NUS CS-6101 YouTube-Lectures 2018
8. Neural Networks for Natural Language Processing Graham Neubig, CMU NN4NLP YouTube-Lectures 2019
9. Natural Language Processing with Deep Learning Abigail See, Chris Manning, Richard Socher, Stanford University CS224n YouTube-Lectures 2019
10. Natural Language Understanding Bill MacCartney and Christopher Potts CS224U YouTube-Lectures S2019
11. Neural Networks for Natural Language Processing Graham Neubig, Carnegie Mellon University CS 11-747 YouTube-Lectures S2020
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:speaking_head: Automatic Speech Recognition :speech_balloon: :thought_balloon:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course WebPage Lecture Videos Year
1. Deep Learning for Speech & Language UPC Barcelona DL-SL Lecture-Videos
YouTube-Videos
2017
2. Speech and Audio in the Northeast Many Legends, Google NYC SANE-15 YouTube-Videos 2015
3. Automatic Speech Recognition Samudra Vijaya K, TIFR None YouTube-Videos 2016
4. Speech and Audio in the Northeast Many Legends, Google NYC SANE-17 YouTube-Videos 2017
5. Speech and Audio in the Northeast Many Legends, Google Cambridge SANE-18 YouTube-Videos 2018
-1. Deep Learning for Speech Recognition Many Legends, AoE None YouTube-Videos 2015-2018
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:fire: Modern Computer Vision :camera_flash: :movie_camera:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course WebPage Lecture Videos Year
1. Microsoft Computer Vision Summer School - (classical) Lots of Legends, Lomonosov Moscow State University None YouTube-Videos
Russian-mirror
2011
2. Computer Vision - (classical) Mubarak Shah, UCF CAP-5415 YouTube-Lectures 2012
3. Image and Multidimensional Signal Processing - (classical) William Hoff, Colorado School of Mines CSCI 510/EENG 510 YouTube-Lectures 2012
4. Computer Vision - (classical) William Hoff, Colorado School of Mines CSCI 512/EENG 512 YouTube-Lectures 2012
5. Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital Guillermo Sapiro, Duke University None YouTube-Videos 2013
6. Multiple View Geometry (classical) Daniel Cremers, Technische Universität München mvg YouTube-Lectures 2013
7. Mathematical Methods for Robotics, Vision, and Graphics Justin Solomon, Stanford University CS-205A YouTube-Lectures 2013
8. Computer Vision - (classical) Mubarak Shah, UCF CAP-5415 YouTube-Lectures 2014
9. Computer Vision for Visual Effects (classical) Rich Radke, Rensselaer Polytechnic Institute ECSE-6969 YouTube-Lectures S2014
10. Autonomous Navigation for Flying Robots Juergen Sturm, Technische Universität München Autonavx YouTube-Lectures 2014
11. SLAM - Mobile Robotics Cyrill Stachniss, Universitaet Freiburg RobotMapping YouTube-Lectures 2014
12. Computational Photography Irfan Essa, David Joyner, Arpan Chakraborty CP-Udacity YouTube-Lectures 2015
13. Introduction to Digital Image Processing Rich Radke, Rensselaer Polytechnic Institute ECSE-4540 YouTube-Lectures S2015
14. Lectures on Digital Photography Marc Levoy, Stanford/Google Research LoDP YouTube-Lectures 2016
15. Introduction to Computer Vision (foundation) Aaron Bobick, Irfan Essa, Arpan Chakraborty CV-Udacity YouTube-Lectures 2016
16. Computer Vision Syed Afaq Ali Shah, University of Western Australia None YouTube-Lectures 2016
17. Photogrammetry I & II Cyrill Stachniss, University of Bonn PG-I&II YouTube-Lectures 2016
18. Deep Learning for Computer Vision UPC Barcelona DLCV-16
DLCV-17
DLCV-18
YouTube-Lectures 2016-2018
19. Convolutional Neural Networks Andrew Ng, Stanford University DeepLearning.AI YouTube-Lectures 2017
20. Variational Methods for Computer Vision Daniel Cremers, Technische Universität München VMCV YouTube-Lectures 2017
21. Winter School on Computer Vision Lots of Legends, Israel Institute for Advanced Studies WS-CV YouTube-Lectures 2017
22. Deep Learning for Visual Computing Debdoot Sheet, IIT-Kgp Nptel Notebooks YouTube-Lectures 2018
23. The Ancient Secrets of Computer Vision Joseph Redmon, Ali Farhadi TASCV ; TASCV-UW YouTube-Lectures 2018
24. Modern Robotics Kevin Lynch, Northwestern Robotics modern-robot YouTube-Lectures 2018
25. Digial Image Processing Alex Bronstein, Technion CS236860 YouTube-Lectures 2018
26. Mathematics of Imaging - Variational Methods and Optimization in Imaging Lots of Legends, Institut Henri Poincaré Workshop-1 YouTube-Lectures 2019
27. Deep Learning for Video Xavier Giró, UPC Barcelona deepvideo YouTube-Lectures 2019
28. Statistical modeling for shapes and imaging Lots of Legends, Institut Henri Poincaré, Paris workshop-2 YouTube-Lectures 2019
29. Imaging and machine learning Lots of Legends, Institut Henri Poincaré, Paris workshop-3 YouTube-Lectures 2019
30. Computer Vision Jayanta Mukhopadhyay, IIT Kgp CV-nptel YouTube-Lectures 2019
31. Deep Learning for Computer Vision Justin Johnson, UMichigan EECS 498-007 Lecture-Videos 2019
32. Sensors and State Estimation 2 Cyrill Stachniss, University of Bonn None YouTube-Lectures S2020
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:star2: Boot Camps or Summer Schools :maple_leaf:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course WebPage Lecture Videos Year
1. Deep Learning, Feature Learning Lots of Legends, IPAM UCLA GSS-2012 YouTube-Lectures 2012
2. Big Data Boot Camp Lots of Legends, Simons Institute Big Data YouTube-Lectures 2013
3. Machine Learning Summer School Lots of Legends, MPI-IS Tübingen MLSS-13 YouTube-Lectures 2013
4 Graduate Summer School: Computer Vision Lots of Legends, IPAM-UCLA GSS-CV Video-Lectures 2013
5. Machine Learning Summer School Lots of Legends, Reykjavik University MLSS-14 YouTube-Lectures 2014
6. Machine Learning Summer School Lots of Legends, Pittsburgh MLSS-14 YouTube-Lectures 2014
7. Deep Learning Summer School Lots of Legends, Université de Montréal DLSS-15 YouTube-Lectures 2015
8. Biomedical Image Analysis Summer School Lots of Legends, CentraleSupelec, Paris None YouTube-Lectures 2015
9. Mathematics of Signal Processing Lots of Legends, Hausdorff Institute for Mathematics SigProc YouTube-Lectures 2016
10. Microsoft Research - Machine Learning Course S V N Vishwanathan and Prateek Jain MS-Research None YouTube-Lectures 2016
11. Deep Learning Summer School Lots of Legends, Université de Montréal DL-SS-16 YouTube-Lectures 2016
12. Lisbon Machine Learning School Lots of Legends, Instituto Superior Técnico, Portugal LxMLS-16 YouTube-Lectures 2016
13. Machine Learning Advances and Applications Seminar Lots of Legends, Fields Institute, University of Toronto MLAAS-16 YouTube-Lectures
Video-Lectures
2016-2017
14. Machine Learning Advances and Applications Seminar Lots of Legends, Fields Institute, University of Toronto MLAAS-17 Video Lectures 2017-2018
15. Machine Learning Summer School Lots of Legends, MPI-IS Tübingen MLSS-17 YouTube-Lectures 2017
16. Representation Learning Lots of Legends, Simons Institute RepLearn YouTube-Lectures 2017
17. Foundations of Machine Learning Lots of Legends, Simons Institute ML-BootCamp YouTube-Lectures 2017
18. Optimization, Statistics, and Uncertainty Lots of Legends, Simons Institute Optim-Stats YouTube-Lectures 2017
19. Deep Learning: Theory, Algorithms, and Applications Lots of Legends, TU-Berlin DL: TAA YouTube-Lectures 2017
20. Deep Learning and Reinforcement Learning Summer School Lots of Legends, Université de Montréal DLRL-2017 Lecture-videos 2017
21. Statistical Physics Methods in Machine Learning Lots of Legends, International Centre for Theoretical Sciences, TIFR SPMML YouTube-Lectures 2017
22. Lisbon Machine Learning School Lots of Legends, Instituto Superior Técnico, Portugal LxMLS-17 YouTube-Lectures 2017
23. Interactive Learning Lots of Legends, Simons Institute, Berkeley IL-2017 YouTube-Lectures 2017
24. Computational Challenges in Machine Learning Lots of Legends, Simons Institute, Berkeley CCML-17 YouTube-Lectures 2017
25. Foundations of Data Science Lots of Legends, Simons Institute DS-BootCamp YouTube-Lectures 2018
26. Deep Learning and Bayesian Methods Lots of Legends, HSE Moscow DLBM-SS YouTube-Lectures 2018
27. New Deep Learning Techniques Lots of Legends, IPAM UCLA IPAM-Workshop YouTube-Lectures 2018
28. Deep Learning and Reinforcement Learning Summer School Lots of Legends, University of Toronto DLRL-2018 Lecture-videos 2018
29. Machine Learning Summer School Lots of Legends, Universidad Autónoma de Madrid, Spain MLSS-18 YouTube-Lectures
Course-videos
2018
30. Theoretical Basis of Machine Learning Lots of Legends, International Centre for Theoretical Sciences, TIFR TBML-18 Lecture-Videos
YouTube-Videos
2018
31. Polish View on Machine Learning Lots of Legends, Warsaw PLinML-18 YouTube-Videos 2018
32. Big Data Analysis in Astronomy Lots of Legends, Tenerife BDAA-18 YouTube-Lectures 2018
33. Machine Learning Advances and Applications Seminar Lots of Legends, Fields Institute, University of Toronto MLASS Video Lectures 2018-2019
34. MIFODS- ML, Stats, ToC seminar Lots of Legends, MIT MIFODS-seminar Lecture-videos 2018-2019
35. Learning Machines Seminar Series Lots of Legends, Cornell Tech LMSS YouTube-Lectures 2018-now
36. Machine Learning Summer School Lots of Legends, South Africa MLSS'19 YouTube-Lectures 2019
37. Deep Learning Boot Camp Lots of Legends, Simons Institute, Berkeley DLBC-19 YouTube-Lectures 2019
38. Frontiers of Deep Learning Lots of Legends, Simons Institute, Berkeley FoDL-19 YouTube-Lectures 2019
39. Mathematics of data: Structured representations for sensing, approximation and learning Lots of Legends, The Alan Turing Institute, London MoD-19 YouTube-Lectures 2019
40. Deep Learning and Bayesian Methods Lots of Legends, HSE Moscow DLBM-SS YouTube-Lectures 2019
41. The Mathematics of Deep Learning and Data Science Lots of Legends, Isaac Newton Institute, Cambridge MoDL-DS Lecture-Videos 2019
42. Geometry of Deep Learning Lots of Legends, MSR Redmond GoDL YouTube-Lectures 2019
43. Deep Learning for Science School Many folks, LBNL, Berkeley DLfSS YouTube-Lectures 2019
44. Emerging Challenges in Deep Learning Lots of Legends, Simons Institute, Berkeley ECDL YouTube-Lectures 2019
45. Full Stack Deep Learning Pieter Abbeel and many others, UC Berkeley FSDL-M19 YouTube-Lectures-Day-1
Day-2
2019
46. Algorithmic and Theoretical aspects of Machine Learning Lots of legends, IIIT-Bengaluru ACM-ML
nptel
YouTube-Lectures 2019
47. Deep Learning and Reinforcement Learning Summer School Lots of Legends, AMII, Edmonton, Canada DLRL-2019 YouTube-Lectures 2019
48. Mathematics of Machine Learning - Summer Graduate School Lots of Legends, University of Washington MoML-SGS, MoML-SS YouTube-Lectures 2019
49. Workshop on Theory of Deep Learning: Where next? Lots of Legends, IAS, Princeton University WTDL YouTube-Lectures 2019
50. Computational Vision Summer School Lots of Legends, Black Forest, Germany CVSS-2019 YouTube-Lectures 2019
51. Learning under complex structure Lots of Legends, MIT LUCS YouTube-Lectures 2020
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:bird: Bird's Eye view of A(G)I :eagle:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:
S.No Course Name University/Instructor(s) Course WebPage Lecture Videos Year
1. Artificial General Intelligence Lots of Legends, MIT 6.S099-AGI Lecture-Videos 2018-2019
2. AI Podcast Lots of Legends, MIT AI-Pod YouTube-Lectures 2018-2019
3. NYU - AI Seminars Lots of Legends, NYU modern-AI YouTube-Lectures 2017-now
4. Deep Learning: Alchemy or Science? Lots of Legends, Institute for Advanced Study, Princeton DLAS
Agenda
YouTube-Lectures 2019
Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

To-Do :running:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

white_large_square: Optimization courses which form the foundation for ML, DL, RL

white_large_square: Computer Vision courses which are DL & ML heavy

white_large_square: Speech recognition courses which are DL heavy

white_large_square: Structured Courses on Geometric, Graph Neural Networks

white_large_square: Section on Autonomous Vehicles

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

Go to Contents :arrow_heading_up:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

Around the Web :earth_asia:

:heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

Contributions :pray:

If you find a course that fits in any of the above categories (i.e. DL, ML, RL, CV, NLP), and the course has lecture videos (with slides being optional), then please raise an issue or send a PR by updating the course according to the above format.

Vielen lieben Dank! :blue_heart:

heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign:

:gift_heart: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board::mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board::mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :mortar_board: :gift_heart:

:heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::heavy_minus_sign: