Recent Trend

RevokeMsgPatcher
A hex editor for WeChat/QQ/TIM - PC版微信/QQ/TIM防撤回补丁(我已经看到了,撤回也没用了)
react-native-firebase
? A well-tested feature-rich modular Firebase implementation for React Native. Supports both iOS & Android platforms for all Firebase services.
dragonwell8
Alibaba Dragonwell8 JDK
RADWIMPS
君の then-then-then 世は Promise で Future
Tiktok
高仿抖音APP
TaBERT
This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic pars
dask-tutorial
Dask tutorial
HelloGitHub
Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目
covid-tracker-app
COVID Tracker App Repository
digital-gardeners
Resources, links, projects, and ideas for gardeners tending their digital notes on the public interwebs
hackingtool
ALL IN ONE Hacking Tool For Hackers
ounotes
An Application built for students to access Notes , Question Papers , Syllabus and Resources for all Subjects of O.U (Osmania University) ??‍?
docker-cheat-sheet
Docker Cheat Sheet
blog
gamedev blog
CVE-2020-5902
CVE-2020-5902 BIG-IP
course-content
Summer course content for Neuromatch Academy
texthero
Text preprocessing, representation and visualization from zero to hero.
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
edex-ui
A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.
BYTEPATH

discord.js
A powerful JavaScript library for interacting with the Discord API
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
E-commerce-App-UI-Flutter
Nice and clean Online Shop app UI by using #Flutter.
rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
javascript-algorithms
? Algorithms and data structures implemented in JavaScript with explanations and links to further readings
gitqlite
Query git repositories with SQL. Uses SQLite virtual tables and go-git
NonEuclidean
A Non-Euclidean Rendering Engine for 3D scenes.
org-roam
Rudimentary Roam replica with Org-mode
guietta

learngo
1000+ Hand-Crafted Go Examples, Exercises, and Quizzes
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
pumpkin-book
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
jexcel
jExcel is a lightweight vanilla javascript plugin to create amazing web-based interactive tables and spreadsheets compatible with Excel or any other spreadsheet software.
pure-bash-bible
? A collection of pure bash alternatives to external processes.
google-research
Google Research
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.
backstage
Backstage is an open platform for building developer portals
Warde
Simple and minimalistic server dashboard
warp
A super-easy, composable, web server framework for warp speeds.
midway
Midway is a Node.js Serverless Framework for front-end/full-stack developers. Build the application for next decade. Works on AWS, Aliyun, Tencent-Cloud and traditional VM/Container.
EasyOCR
Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai
awesome-discord-communities
A curated list of awesome Discord communities for programmers
electron
Build cross-platform desktop apps with JavaScript, HTML, and CSS
jsonbase
A database software completely built as JSON files in backend. A powerful, portable and simple database works on top of JSON files. It is like a database software, currently having basic CRUD operatio
Ward
Simple and minimalistic server dashboard
breaking-bad-cast
App to show cast info for breaking bad
EssentialMath

J.A.R.V.I.S
python powered Intelligent System
PracticalSessions2020
Repository for tutorial sessions at EEML2020
flutterfire
? A collection of Firebase plugins for Flutter apps.
fenix
Firefox Preview
go-admin
基于Gin + Vue + Element UI的前后端分离权限管理系统脚手架(包含了:基础用户管理功能,jwt鉴权,代码生成器,RBAC资源控制,表单构建等)文档:http://doc.zhangwj.com/go-admin-site/ Demo: http://www.zhangwj.com/#/login
vitepress
Vite & Vue powered static site generator
zulip
Zulip server - powerful open source team chat
pygooglenews
If Google News had a Python library
UnblockNeteaseMusic
Revive unavailable songs for Netease Cloud Music
yapi
YApi 是一个可本地部署的、打通前后端及QA的、可视化的接口管理平台
telegraf
The plugin-driven server agent for collecting & reporting metrics.
cassandra-workshop-series
All materials for the Cassandra Workshop Series in a single place
just-react
React技术揭秘
rocketredis
A beautiful Redis GUI ?
Summer2021-Internships
Collection of Summer 2021 tech internships!
cubit
Cubit is a lightweight state management solution. It is a subset of the bloc package that does not rely on events and instead uses methods to emit new states.
vite
Native-ESM powered web dev build tool. It's fast.
electron-typescript-react
An Electron boilerplate including TypeScript, React, Jest and ESLint.
responsively-app
A modified browser that helps in responsive web development.
uno
Build Mobile, Desktop and WebAssembly apps with C# and XAML. Today. Open source and professionally supported.
material-ui
React components for faster and easier web development. Build your own design system, or start with Material Design.
BotBuilder-Samples
Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Bot Framework SDK!
OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
jira-clone-angular
A simplified Jira clone built with Angular 9 and Akita
snipsnap
The ultimate snippets collection for VS Code
hacker-scripts
Based on a true story
v
Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. https://vlang.io
DataX

react-hook-form
? React Hooks for forms validation (Web + React Native)
nvm
Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
datax-web
DataX集成可视化页面,选择数据源即可一键生成数据同步任务,支持批量创建RDBMS数据同步任务,集成开源调度系统,支持分布式、增量同步数据、实时查看运行日志、监控执行器资源、KILL运行进程、数据源信息加密等。
taro
开放式跨端跨框架解决方案,支持使用 React/Vue/Nerv 等框架来开发微信/京东/百度/支付宝/字节跳动/ QQ 小程序/H5 等应用。 https://taro.jd.com/
cadmus
A GUI frontend for @werman's Pulse Audio real-time noise suppression plugin
PENTESTING-BIBLE
Updates to this repository will continue to arrive until the number of links reaches 10000 links & 10000 pdf files .Learn Ethical Hacking and penetration testing .hundreds of ethical hacking & penetra
hexapod
Blazing fast hexapod robot simulator with React and Plotly.
WickedEngine
C++ game engine focusing on modern rendering techniques and performance.
Silice
Silice is an open source language that simplifies writing algorithms fully exploiting FPGA architectures.
python-training
Python training for business analysts and traders
White-box-Cartoonization
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
ultimate-go
Ultimate Go study guide
cascadia-code
This is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal.
rolling-rhino
Rolling Rhino; convert Ubuntu into a rolling release as seen on YouTube
precourse
A repo for the pre-course work at home exercises
python3-in-one-pic
Learn python3 in one picture.
TensorflowTTS
? TensorflowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
SciencePlots
Matplotlib styles for scientific plotting
Pulse
A pendant to warn you when you touch your face
my-flutter-challenges
A collection of all my Flutter Challenges
super-productivity
To-do list & time tracker for programmers & other digital workers with Jira, Github and Gitlab integration
chat
Instant messaging server; backend in Go; iOS, Android, web, command line clients; chatbots
spektral
Graph Neural Networks with Keras and Tensorflow 2.
snowpack
The near-instant build tool for modern web apps.
Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc
awesome-courses
? List of awesome university courses for learning Computer Science!
shardingsphere-elasticjob-lite
Distributed scheduled job framework
advanced-java
? 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识,后端同学必看,前端同学也可学习
FreeDVDBoot
PlayStation 2 DVD Player Exploit
secretive
Store SSH keys in the Secure Enclave
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
canal
阿里巴巴 MySQL binlog 增量订阅&消费组件
opencv
Open Source Computer Vision Library
gin
Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
lemmy
? Building a federated alternative to reddit in rust
emigui
egui: Immediate mode GUI written in Rust, made for WASM
getx
Open screens/snackbars/dialogs/bottomSheets without context, manage states and inject dependencies easily with Get.
beego
beego is an open-source, high-performance web framework for the Go programming language.
vector
A lightweight and ultra-fast tool for building observability pipelines
Bug-Bounty-Toolz
BBT - Bug Bounty Tools
fullstack-course4
Example code for HTML, CSS, and Javascript for Web Developers Coursera Course
vnpy
基于Python的开源量化交易平台开发框架
honkit
? HonKit is building beautiful books using Markdown - Fork of GitBook
scrcpy
Display and control your Android device
formik
Build forms in React, without the tears ?
Mindustry
A sandbox tower defense game
arcore-depth-lab
ARCore Depth Lab is a set of Depth API samples that provides assets using depth for advanced geometry-aware features in AR interaction and rendering. (UIST 2020)
VTIL-Core
Virtual-machine Translation Intermediate Language
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Unlock-netease-cloud-music
解锁网易云音乐客户端变灰歌曲
FastSurfer
PyTorch implementation of FastSurferCNN
corona
Solar2D Game Engine main repository (ex Corona SDK)
OnJava8
《On Java 8》中文版,又名《Java编程思想》 第5版
Pwdb-Public
A collection of all the data i could extract from 1 billion leaked credentials from internet.
aviary.sh
Minimal distributed configuration management in bash
CalCAT
California COVID Assessment Tool
angular-cli
CLI tool for Angular
fgprof
? fgprof is a sampling Go profiler that allows you to analyze On-CPU as well as Off-CPU (e.g. I/O) time together.
terraform-provider-aws
Terraform AWS provider
elevator.js
Finally, a "back to top" button that behaves like a real elevator.
reverse-proxy
A toolkit for developing high-performance HTTP reverse proxy applications.
angular
One framework. Mobile & desktop.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW
linuxupskillchallenge
Learn the skills required to sysadmin a remote Linux server from the commandline.
PhotoGIMP
A Patch for GIMP 2.10+ for Photoshop Users
toydb
Distributed SQL database in Rust, written as a learning project
Active-Directory-Exploitation-Cheat-Sheet
A cheat sheet that contains common enumeration and attack methods for Windows Active Directory.
fluentui-system-icons
Fluent System Icons is a set of mobile platform icons from Microsoft
php-src
The PHP Interpreter
awesome-selfhosted
A list of Free Software network services and web applications which can be hosted locally. Selfhosting is the process of hosting and managing applications instead of renting from Software-as-a-Service
rasa
? Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
awesome-interview-questions
A curated awesome list of lists of interview questions. Feel free to contribute! ?
PowerToys
Windows system utilities to maximize productivity
bookshelf
Build a ReactJS App workshop
Privilege-Escalation
This cheasheet is aimed at the CTF Players and Beginners to help them understand the fundamentals of Privilege Escalation with examples.
Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
ruby
The Ruby Programming Language [mirror]
brew
? The missing package manager for macOS (or Linux)
ALAE
[CVPR2020] Adversarial Latent Autoencoders
ant-design
? A UI Design Language and React UI library
itlwm
IntelWifi
Paper
High performance Spigot fork that aims to fix gameplay and mechanics inconsistencies
learnopencv
Learn OpenCV : C++ and Python Examples
tailwindcss
A utility-first CSS framework for rapid UI development.
esbuild
An extremely fast JavaScript bundler and minifier
react-query
⚛️ Hooks for fetching, caching and updating asynchronous data in React
3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
nginx-ui
Nginx UI allows you to access and modify the nginx configurations files without cli.
SpringCloudLearning
《史上最简单的Spring Cloud教程源码》
raspberry-pi-os
Learning operating system development using Linux kernel and Raspberry Pi
abstreet
A traffic simulation game exploring how small changes to roads affect cyclists, transit users, pedestrians, and drivers.
spark
Apache Spark - A unified analytics engine for large-scale data processing
thingsboard
Open-source IoT Platform - Device management, data collection, processing and visualization.
MachineLearningECT
For better displaying html files and course material use this link
ZY-Player
▶️ 跨平台桌面端视频资源播放器.简洁无广告.免费高颜值. ?
wrk
Modern HTTP benchmarking tool
kugimiya-rainbow-fart
傲娇钉宫,鞭写鞭骂 - 钉宫理惠 vscode-rainbow-fart 扩展语音包
awesome-blazor
Resources for Blazor, a .NET web framework using C#/Razor and HTML that runs in the browser with WebAssembly.
L-ink_Card
Smart NFC & ink-Display Card
DeloresDev
Read all about it on GrumpyGamer:
IBMYes

elegant-emacs
A very minimal but elegant emacs (I think)
The-Open-Book

TeachYourselfCS-CN
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
tsunami-security-scanner
Tsunami is a general purpose network security scanner with an extensible plugin system for detecting high severity vulnerabilities with high confidence.
ThreeDPoseTracker

spring-boot-demo
spring boot demo 是一个用来深度学习并实战 spring boot 的项目,目前总共包含 65 个集成demo,已经完成 53 个。 该项目已成功集成 actuator(监控)、admin(可视化监控)、logback(日志)、aopLog(通过AOP记录web请求日志)、统一异常处理(json级别和页面级别)、freemarker(模板引擎)、thymeleaf(模板引擎)、Be
Better-Python-59-Ways
Code Sample of Book "Effective Python: 59 Specific Ways to Write Better Pyton" by Brett Slatkin
rpi-vk-driver
VK driver for the Raspberry Pi (Broadcom Videocore IV)
Face-Depixelizer
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
python-small-examples
告别枯燥,60 秒学会一个 Python 小例子
workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
DeDRM_tools
DeDRM tools for ebooks
coding-interview-university
A complete computer science study plan to become a software engineer.
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Apollo-11
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
rust
Empowering everyone to build reliable and efficient software.
youtube-dl
Command-line program to download videos from YouTube.com and other video sites
arduino-esp32
Arduino core for the ESP32
awesomechat

OpenDiablo2
An open source re-implementation of Diablo 2
xxHash
Extremely fast non-cryptographic hash algorithm
public-apis
A collective list of free APIs for use in software and web development.
NotQuite0DayFriday
This is a repo which documents real bugs in real software to illustrate trends, learn how to prevent or find them more quickly.
kubernetes-goat
Kubernetes Goat is "Vulnerable by Design" Kubernetes Cluster.
project-based-learning
Curated list of project-based tutorials
pdown
PDown后继版,百度网盘代下载
vscode-rainbow-fart
一个在你编程时疯狂称赞你的 VSCode 扩展插件 | An VSCode extension that keeps giving you compliment while you are coding, it will checks the keywords of code to play suitable sounds.
fastlane

super-linter
Combination of multiple linters to install as a GitHub Action
Covid19Radar
Open Source / i18n / Cross Platform Contact Tracing App by exposure notification framework.
vxe-table

awesome-gog-galaxy
A list of GOG Galaxy 2.0 integrations and upcoming features
plugin.video.netflix
InputStream based Netflix plugin for Kodi
goplus
GoPlus - The Go+ language for data science
PKHeX
Pokémon Save File Editor
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
kubermatic
The Central Kubernetes Management Platform For Any Infrastructure
zoom-e2e-whitepaper
End-to-End Encryption for Zoom Meetings
GitHub-Chinese-Top-Charts

image-gpt

zju-icicles
浙江大学课程攻略共享计划
jupiter
Jupiter是douyu开源的面向服务治理的Golang微服务框架
pose-animator

SpringBoot-Labs
一个涵盖六个专栏:Spring Boot 2.X、Spring Cloud、Spring Cloud Alibaba、Dubbo、分布式消息队列、分布式事务的仓库。希望胖友小手一抖,右上角来个 Star,感恩 1024
expose
A beautiful, fully open-source, tunneling service - written in pure PHP
galaxy-integrations-python-api
NOTE: Please report here only issues related to the python API. Issues and general feedback regarding the Galaxy Client 2.0 shall be sent via Galaxy Client menu
springcloud-learning
一套涵盖大部分核心组件使用的Spring Cloud教程,包括Spring Cloud Alibaba及分布式事务Seata,基于Spring Cloud Greenwich及SpringBoot 2.1.7。20篇文章,篇篇精华,30个Demo,涵盖大部分应用场景。
silq

OpenSelfSup
Self-Supervised Learning Toolbox and Benchmark
Boop
A scriptable scratchpad for developers. In slow yet steady progress.
PARL
PARL A high-performance distributed training framework for Reinforcement Learning
algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
hooks
React Hooks Library
azure-docs
Open source documentation of Microsoft Azure
lens
Lens - The Kubernetes IDE
vue

Python-Core-50-Courses
Python语言基础50课
aws-cdk
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
multi-task-NLP
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Python-100-Days
Python - 100天从新手到大师
piranha
A tool for refactoring code related to feature flag APIs
davinci
Davinci is a DVsaaS (Data Visualization as a Service) Platform
stylegan2
StyleGAN2 - Official TensorFlow Implementation
pkgsite
[mirror] Home of the pkg.go.dev website
magnetW
磁力链接聚合搜索
100knocks-preprocess
データサイエンス100本ノック(構造化データ加工編)
byob
BYOB (Build Your Own Botnet)
cwa-app-ios
Native iOS app using the exposure notification framework from Apple.
build-your-own-x

cwa-website
Corona-Warn-App website
microsoft-graph-docs
Documentation for the Microsoft Graph REST API
azure-rest-api-specs
The source for REST API specifications for Microsoft Azure.
AZ-301-MicrosoftAzureArchitectDesign

Alamofire
Elegant HTTP Networking in Swift
argo-cd
Declarative continuous deployment for Kubernetes.
material-ui-pickers
Date & Time pickers, built with ❤️ for @material-ui/core
mbedtls
An open source, portable, easy to use, readable and flexible SSL library
faker
A library for generating fake data such as names, addresses, and phone numbers.
FairMOT
A simple baseline for one-shot multi-object tracking
css.gg
700+ Pure CSS, SVG & Figma UI Icons Available in SVG Sprite, styled-components, NPM & API
mbed-os
Arm Mbed OS is a platform operating system designed for the internet of things
testcontainers-java
Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
integrations-core
Core integrations of the Datadog Agent
cwa-verification-server
Backend implementation of the verification process
vault
A tool for secrets management, encryption as a service, and privileged access management
wikileaks-9-11-files
The files from the United States government on 9/11, released by wiki leaks.
pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
json
JSON for Modern C++
pifuhd
High-Resolution 3D Human Digitization from A Single Image.
termux-packages
Android terminal and Linux environment - packages repository.
macOS-Simple-KVM
Tools to set up a quick macOS VM in QEMU, accelerated by KVM.
wa-automate-nodejs

koreader
An ebook reader application supporting PDF, DjVu, EPUB, FB2 and many more formats, running on Cervantes, Kindle, Kobo, PocketBook and Android devices
devconnector_2.0
Social network for developers, built on the MERN stack
QuantumultX
QuantumultX
tunic
Install Linux from a running Windows system, without need for a live USB.
cwa-server
Backend implementation for the Apple/Google exposure notification API.
OpenCorePkg
OpenCore bootloader
gpt-3
GPT-3: Language Models are Few-Shot Learners
cwa-app-android
Native Android app using the Apple/Google exposure notification API.
twint
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
vapor

free-programming-books

Arduino
ESP8266 core for Arduino
etcher
Flash OS images to SD cards & USB drives, safely and easily.
you-get
⏬ Dumb downloader that scrapes the web
ant-design-vue
An enterprise-class UI components based on Ant Design and Vue.
fastai
The fastai deep learning library, plus lessons and tutorials
iptv
Collection of 8000+ publicly available IPTV channels from all over the world
TheFrenchGhostys-YouTube-DL-Archivist-Scripts
The ultimate collection of scripts for YouTube-DL.
deno
A secure JavaScript and TypeScript runtime
nodejsscan
nodejsscan is a static security code scanner for Node.js applications.
lede
Lean's OpenWrt source
violent-python3
Source code for the book "Violent Python" by TJ O'Connor. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate issues involving the impl
AFNetworking
A delightful networking framework for iOS, macOS, watchOS, and tvOS.
Quantum
Microsoft Quantum Development Kit Samples
advanced-go-programming-book

audino
Open source audio annotation tool for humans™
blackhat-python3
Source code for the book "Black Hat Python" by Justin Seitz. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate issues of dependency r
javascript-questions
A long list of (advanced) JavaScript questions, and their explanations ✨
us-potus-model
Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.
mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
cypress-realworld-app
A payment application to demonstrate real-world usage of Cypress testing methods, patterns, and workflows.
nlp

cortex
Build machine learning APIs
hamler
Haskell-style functional programming language running on Erlang VM.
tinysearch

Win10-Initial-Setup-Script
PowerShell script for automation of routine tasks done after fresh installations of Windows 10 / Server 2016 / Server 2019
playwright
Node library to automate Chromium, Firefox and WebKit with a single API
howto-make-more-money
程序员如何优雅的挣零花钱,2.0版,升级为小书了。Most of this not work outside China , so no English translate
rocksdb
A library that provides an embeddable, persistent key-value store for fast storage.
JavaGuide
「Java学习+面试指南」一份涵盖大部分Java程序员所需要掌握的核心知识。
CVE-2020-0796-RCE-POC
CVE-2020-0796 Remote Code Execution POC
shapez.io
shapez.io is an open source base building game inspired by factorio! Available on web & desktop
theia
Eclipse Theia is a cloud & desktop IDE framework implemented in TypeScript.
CVPR2020-Code
CVPR 2020 论文开源项目合集
mall
mall项目是一套电商系统,包括前台商城系统及后台管理系统,基于SpringBoot+MyBatis实现,采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
Xamarin.Forms
Xamarin.Forms Official Home
TNN
TNN:由腾讯优图实验室打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。
esp_8_bit
Atari 8 bit computers, NES and SMS game consoles on your TV with nothing more than a ESP32 and a sense of nostalgia
fucking-algorithm
手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
stegcloak
Hide secrets with invisible characters in plain text securely using passwords
sendportal
Open-source self-hosted email marketing. Manage your own newsletters at a fraction of the cost.
managers-playbook

community
This repository holds the content submitted to https://cloud.google.com/community. Files added to the tutorials/ will appear at https://cloud.google.com/community/tutorials.
files-uwp
"More than just a rewrite of Windows Explorer"
gravity
Gravity Programming Language
livewire
A full-stack framework for Laravel that takes the pain out of building dynamic UIs.
colabcat

EquinoxProject
Full ASP.NET Core 3.1 application with DDD, CQRS and Event Sourcing concepts
hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
shan-shui-inf
Procedurally generated Chinese landscape painting.
CallStranger
Vulnerability checker for Callstranger (CVE-2020-12695)
utahfs
UtahFS is an encrypted storage system that provides a user-friendly FUSE drive backed by cloud storage.
xgenecloud

AI4Animation
Bringing Characters to Life with Computer Brains in Unity
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS
cypress
Fast, easy and reliable testing for anything that runs in a browser.
vagas

googletest
Googletest - Google Testing and Mocking Framework
google-cloud-go
Google Cloud Client Libraries for Go.
StayAwake
Stay Awake is a simple app that keeps your computer from going to sleep.
outline
The fastest wiki and knowledge base for growing teams. Beautiful, feature rich, and markdown compatible.
Daily-Interview-Question
我是木易杨,公众号「高级前端进阶」作者,每天搞定一道前端大厂面试题,祝大家天天进步,一年后会看到不一样的自己。
phpstan
PHP Static Analysis Tool - discover bugs in your code without running it!
dotnet-docker
Docker images for .NET Core and the .NET Core Tools.
CryptoSwift
CryptoSwift is a growing collection of standard and secure cryptographic algorithms implemented in Swift
strapi

Rocket.Chat
The ultimate Free Open Source Solution for team communications.
neuropod
A uniform interface to run deep learning models from multiple frameworks
nnn
n³ The missing terminal file manager for X.
distribution
The Docker toolset to pack, ship, store, and deliver content
msw
Seamless REST/GraphQL API mocking library for browser and Node.
showdoc
ShowDoc is a tool greatly applicable for an IT team to share documents online一个非常适合IT团队的在线API文档、技术文档工具
Meshtastic-device
Device code for the Meshtastic ski/hike/fly/customizable open GPS radio
go-ast-book

rubocop
A Ruby static code analyzer and formatter, based on the community Ruby style guide.
app-ideas
A Collection of application ideas which can be used to improve your coding skills.
fsociety
fsociety Hacking Tools Pack – A Penetration Testing Framework
AspNetCore.Docs
Documentation for ASP.NET Core
vscodium
binary releases of VS Code without MS branding/telemetry/licensing
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
firebase-ios-sdk
Firebase iOS SDK
dnsguide
A guide to writing a DNS Server from scratch in Rust
axiom
A dynamic infrastructure toolkit for red teamers and bug bounty hunters!
boost
Super-project for modularized Boost
collapseos
Bootstrap post-collapse technology
nushell
A new type of shell
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
UnityURPToonLitShaderExample
A very simple toon lit shader example, for you to learn writing custom lit shader in Unity URP
learn-security-engineering
How I'm learning to build secure systems
SpringBootVulExploit
SpringBoot 相关漏洞学习资料,利用方法和技巧合集,黑盒安全评估 checklist
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Zettlr
A Markdown Editor for the 21st century.
Python
My Python Examples
threadx
Azure RTOS ThreadX is an advanced real-time operating system (RTOS) designed specifically for deeply embedded applications.
OpenRA
Open Source real-time strategy game engine for early Westwood games such as Command & Conquer: Red Alert written in C# using SDL and OpenGL. Runs on Windows, Linux, *BSD and Mac OS X.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
faceswap
Deepfakes Software For All
printf-tac-toe
tic-tac-toe in a single call to printf
research
Notebooks based on financial machine learning.
nomad
Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and sc
Python
All Algorithms implemented in Python
jqview
simplest possible native GUI for inspecting JSON objects with jq
penrose
Create beautiful diagrams just by typing mathematical notation in plain text.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
jetbrains-license-2020
JetBrains license servers 2020-2021 IntelliJ WebStorm PyCharm PhpStorm 05 May 2020 works; yo ho ho from Ukraine!
C-Plus-Plus
All Algorithms implemented in C++
avatarify
Avatars for Zoom, Skype and other video-conferencing apps.
Java
All Algorithms implemented in Java
gridjs
Advanced table plugin
police-brutality
Repository containing evidence of police brutality during the 2020 George Floyd protests
CS-Notes

MeiliSearch
Lightning Fast, Ultra Relevant, and Typo-Tolerant Search Engine
ide-eval-resetter
Reset your IDE eval information.
Docker-OSX
Mac in Docker! Run near native OSX-KVM in Docker! X11 Forwarding!
CnC_Remastered_Collection

password-manager-resources
A place for creators and users of password managers to collaborate on resources to make password management better.
genetic-drawing
A genetic algorithm toy project for drawing
trojan
An unidentifiable mechanism that helps you bypass GFW.
textshot
Python tool for grabbing text via screenshot
vue-admin-beautiful
vue-admin-beautiful是一款绝佳的前端开发框架(基于vue/cli 4 最新版,同时支持电脑,手机,平板),长期更新维护,感谢您的star,我一直在努力 Vue admin beautiful is an excellent front-end development framework (supporting computers, mobile phones and tablet
d2l-en
An interactive deep learning book with code, math, and discussions.
v2ray-core
A platform for building proxies to bypass network restrictions.
jetbrains-reset-trial-evaluation-mac
Reset Intellij IDEA, WebStorm, DataGrip, PhpStorm, CLion, PyCharm, RubyMine, GoLand and Rider evaluation (2019 / 2020 / Mac OS)
Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Font-Awesome
The iconic SVG, font, and CSS toolkit
OSX-KVM
Run macOS on QEMU/KVM. With OpenCore Now! No free support is provided. Open PR(s) to fix problems.
cwa-documentation
Project overview, general documentation, and white papers.
algorithm-visualizer

k9s

taichi
Productive & portable programming language for high-performance, sparse & differentiable computing
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
vimwiki
Personal Wiki for Vim
nodebestpractices
✅ The Node.js best practices list (June 2020)
fastjson
A fast JSON parser/generator for Java.
substrate
Substrate: The platform for blockchain innovators
django-rest-framework
Web APIs for Django.
go-interview
Collection of Technical Interview Questions solved with Go
detr
End-to-End Object Detection with Transformers
flutter_hrlweibo
Flutter仿微博客户端, 包含首页、视频、发现、消息(仿微博聊界面)及个人中心模块
practical-python
Practical Python Programming (course by @dabeaz)
CPlusPlusThings
C++那些事

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

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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:

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

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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:

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

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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:

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: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:

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: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:

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: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:

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: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:

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

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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:

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

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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:

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:star2: Boot Camps or Summer Schools :maple_leaf:

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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:

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

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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:

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To-Do :running:

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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

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Go to Contents :arrow_heading_up:

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Around the Web :earth_asia:

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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:

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: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:

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