Courses / Algorithms |
| Algorithmic thinking | | | 💰 |
| Algorithms (2010) | | | Taught by Manuel Blum who has a Turing Award due to his contributions to algorithms. 🆓 |
| Algorithms specialization | | | |
| Algorithms: Part 1 | | | 🆓 |
| Algorithms: Part 2 | | | 🆓 |
| Data structures (2016) | | | 🆓 |
| Data structures (2017) | | | 🆓 |
| Design and analysis of algorithms (2012) | | | 🆓 |
| Evolutionary computation (2014) | | | 🆓 |
| Introduction to programming contests (2012) | | | 🆓 |
| MIT advanced data structures (2014) | | | 🆓 |
| MIT introduction to algorithms | | | 🆓 |
Courses / Artificial Intelligence |
| Berkeley intro to ai (2014) | | | 🆓 |
| MIT artificial intelligence (2010) | | | 🆓 |
| The society of mind (2011) | | | 🆓 |
Courses / Business |
| Gamification | | | 💰 |
Courses / Chemistry |
| Bioinformatics specialization | | | 💰 |
Courses / Compilers |
| Principles of compiler design (2016) | | | 🆓 |
| Stanford compiler construction (2016) | | | 🆓 |
Courses / Computer Science |
| Computational complexity (2008) | | | 🆓 |
| Computer science 101 | | | 🆓 |
| Data structures | | | 💰 |
| Great ideas in computer architecture (2015) | | | 🆓 |
| Information retrieval (2013) | | | 🆓 |
| MIT great ideas in theoretical computer science | | | 🆓 |
| MIT Mathematics for Computer Science (2010) | | | 🆓 |
| MIT Structure and Interpretation of Programs (1986) | | | 🆓 |
| Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity (2018) | | | 🆓 |
| Software foundations (2014) | | | 🆓 |
| The art of recursion (2012) | | | 🆓 |
Courses / Computer vision |
| Computer vision | | | 🆓 |
| Introduction to computer vision (2015) | | | 🆓 |
| Programming computer vision with python (2012) | | | 🆓 |
Courses / Cryptocurrency |
| Bitcoin and Cryptocurrency Technologies | | | 🆓 |
Courses / Cryptography |
| Stanford cryptography I | | | 💰 |
| Stanford cryptography II (2017) | | | 💰 |
Courses / CSS |
| CSS Grid by Wes Bos | 2,092 | about 2 years ago | 🆓 |
Courses / Decentralized systems |
| MIT Decentralized Applications (2018) | | | 🆓 |
Courses / Deep Learning |
| Advanced Deep Learning & Reinforcement Learning (2018) | | | 🆓 |
| Berkeley deep reinforcement learning (2017) | | | 🆓 |
| Deep learning (2017) | | | 🆓 |
| Stanford natural language processing with deep learning (2017) | | | 🆓 |
| Deep learning at Oxford (2015) | | | 🆓 |
| Lectures | | | 🆓 |
| Oxford CS Deep NLP (2017) | 15,702 | about 3 years ago | 🆓 |
| Ucl reinforcement learning (2015) | | | |
| Stanford convolutional neural networks for visual recognition | | | 🆓 |
| Stanford deep learning for natural language processing | | | 🆓 |
Courses / Discrete math |
| Discrete Mathematics and Probability Theory | | | 🆓 |
Courses / Functional programming |
| Course in functional programming by KTH | 79 | over 2 years ago | 🆓 |
| Functional Programming Course | 4,126 | almost 2 years ago | 🆓 |
| Programming paradigms (2018) | | | 🆓 |
| Functional Programming in OCaml (2019) | | | |
Courses / Game development |
| HTML5 game development | | | 🆓 |
Courses / Haskell |
| Advanced Programming (2017) | | | 🆓 |
| Haskell ITMO (2017) | 614 | over 4 years ago | 🆓 |
| Introduction to Haskell (2016) | | | 🆓 |
| Stanford functional systems in Haskell (2014) | | | 🆓 |
Courses / Investing |
| Computational investing | | | 💰 |
Courses / iOS |
| Developing iOS 10 apps with Swift (2017) | | | 🆓 |
Courses / Machine learning |
| MIT Deep Learning (2019) | 10,190 | over 2 years ago | |
| Amazon’s Machine Learning University course (2018) | | | 🆓 |
| Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization | | | Get hands-on experience optimizing, deploying, and scaling production ML models. 💰 |
| Artificial intelligence for robotics | | | 🆓 |
| Coursera machine learning | | | 💰 |
| Introduction to Deep Learning (2018) | | | Introductory course on deep learning algorithms and their applications. 🆓 |
| Introduction to Machine Learning for Coders | | | The course covers the most important practical foundations for modern machine learning. 🆓 |
| Introduction to matrix methods (2015) | | | 🆓 |
| Learning from data (2012) | | | 🆓 |
| Machine Learning Crash Course (2018) | | | Google's fast-paced, practical introduction to machine learning. 🆓 |
| Machine learning for data science (2015) | | | 🆓 |
| Machine learning in Python with scikit-learn | 3,680 | over 2 years ago | 🆓 |
| Machine Learning with TensorFlow on Google Cloud Platform Specialization | | | Learn ML with Google Cloud. Real-world experimentation with end-to-end ML. 💰 |
| Mathematics of Deep Learning, NYU, Spring (2018) | | | 🆓 |
| mlcourse.ai | | | Open Machine Learning course by OpenDataScience. 🆓 |
| Neural networks for machine learning | | | 💰 |
| Notes | 95 | over 13 years ago | 🆓 |
| Practical Deep Learning For Coders (2018) | | | Learn how to build state of the art models without needing graduate-level math. 🆓 |
| Statistical learning (2015) | | | 🆓 |
| Tensorflow for deep learning research (2017) | | | 🆓 |
Courses / Math |
| Abstract algebra (2019) | | | 🆓 |
| MIT linear algebra (2010) | | | 🆓 |
| MIT multivariable calculus (2007) | | | 🆓 |
| MIT multivariable calculus by Prof. Denis Auroux | | | 🆓 |
| MIT multivariable control systems (2004) | | | 🆓 |
| MIT singlevariable calculus (2006) | | | 🆓 |
| Nonlinear dynamics and chaos (2014) | | | 🆓 |
| Stanford mathematical foundations of computing (2016) | | | 🆓 |
| Types, Logic, and Verification (2013) | | | |
Courses / Networking |
| Introduction to computer networking | | | 🆓 |
| Introduction to EECS II: digital communication systems (2012) | | | 🆓 |
Courses / Neuroscience |
| The Human Brain (2018) | | | 🆓 |
Courses / Natural Language Processing |
| YSDA Natural Language Processing course (2018) | 9,857 | almost 2 years ago | 🆓 |
Courses / Operating systems |
| Computer Science 162 | | | 🆓 |
| Computer science from the bottom up | | | 🆓 |
| How to make a computer operating system (2015) | 21,539 | almost 5 years ago | 🆓 |
| Operating system engineering | | | 🆓 |
Courses / Programming |
| Build a modern computer from first principles: from nand to tetris | | | 💰 |
| Introduction to programming with matlab | | | 💰 |
| MIT software construction (2016) | | | 🆓 |
| MIT structure and interpretation of computer programs (2005) | | | 🆓 |
| Stanford C Programming | | | 🆓 |
| Structure and interpretation of computer programs (in Python) (2017) | | | 🆓 |
| Unix tools and scripting (2014) | | | 🆓 |
| Composing Programs | | | Free online introduction to programming and computer science |
Courses / React |
| Advanced React Patterns (2017) | 235 | almost 2 years ago | 🆓 |
| Beginner's guide to React (2017) | | | 🆓 |
| Survive JS: React, From apprentice to master | | | 🆓 |
| Building React Applications with Idiomatic Redux | | | 🆓 |
| Building React Applications with Redux | | | 🆓 |
| Complete intro to React v4 (2018) | | | 🆓 |
| Leverage New Features of React 16 (2018) | | | 🆓 |
| React Holiday (2017) | | | React through examples. 🆓 |
Courses / ReasonML |
| Get Started with Reason (2018) | | | 🆓 |
Courses / Rust |
| Rust programming (2016) | | | 🆓 |
Courses / Scala |
| Functional programming principles in scala | | | 💰 |
Courses / Security |
| Computer and network security (2013) | | | 🆓 |
| Hacker101 (2018) | 13,865 | almost 2 years ago | Free class for web security. 🆓 |
Courses / Statistics |
| Introduction to probability - the science of uncertainty | | | 🆓 |
| MIT probabilistic systems analysis and applied probability (2010) | | | 🆓 |
| Statistical Learning (2016) | | | 🆓 |
| Statistics 110 | | | 🆓 |
Courses / Swift |
| Hacking with Swift (2018) | | | 🆓 |
Courses / Type theory |
| Homotopy Type Theory (2014) | | | 🆓 |
Courses / Vim |
| Vim valley | | | 💰 |
Courses / Web Development |
| Cutting-edge web technologies (2015) | | | 🆓 |
| Interactive Flexbox course (2018) | | | 🆓 |
|
| Awesome artificial intelligence | 11,066 | almost 2 years ago | 🆓 |
| Awesome courses | 58,015 | over 3 years ago | 🆓 |
| CS video courses | 67,524 | about 2 years ago | 🆓 |
| Data science courses | 4,073 | over 5 years ago | 🆓 |
| Dive into machine learning | 11,287 | over 4 years ago | 🆓 |
courses
rbenv/rbenv
hiroakimikami/jlenv
justjanne/powerline-go
zdharma-continuum/zinit-annex-bin-gem-node
nodenv/nodenv
activeadmin/demo.activeadmin.info
tfutils/tfenv
rbaumbach/instagramsimpleoauth
quintel/etmodel
wireapp/wire-ios
src-d/enry
zuzoovn/machine-learning-for-software-engineers