A collection of awesome Machine Learning resources

• Visualization - Tools which let you visualize Machine Learning models to help you understand them better
• Frameworks - Frameworks for Machine Learning which can be used to make your own ML projects
• Libraries - Machine Learning libraries that do one thing and do it well
• Learning - Resources to help you learn more about Machine Learning
• Examples - Example Machine Learning projects and implementations to look at while learning
• Publications - Publications for papers on Machine Learning
• YouTube - YouTube channels and playlists on Machhine Learning
• Articles - Must read articles on AI/Machine Learning
• Courses - Courses to learn more about AI

• Quiver - Interactive convnet features visualization for Keras

• Keras - Higher level abstraction library for TensorFlow and Theano, focusing on ease of use and fast prototyping
• scikit-learn - Feature rich Machine learning library for Python with simple APIs

• Face Recognition - Worlds simplest face detection and recognition library for Python
• LightFM - Python implementation of a number of popular recommendation algorithms

• Machine Learning is Fun Series - The world's easiest introduction to Machine Learning. A guide for anyone who's curious about ML but has no idea where to start
• Have fun with Machine Learning - An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
• Learn Python - A site that teaches you Python interactively
• Learn Python the Hard Way - One of the best sites to learn programming in Python

• MLAlgorithms - A collection of minimal and clean implementations of machine learning algorithms in Python, when you want to learn internals of ML algorithms or implement them from scratch

• Distill - A publication for interactive and visual machine learning papers, instead of PDFs
• Arxiv Sanity Preserver - An easier interface for Arxiv serving research papers on ML Search, sort, and find popular papers
• GitXiv - Collaborative Open Computer Science. Pairs the latest ML research with its open source implementation

• Machine Learning Recipes - Google Developers Machine Learning Recipes playlist. Covers basic concepts in easy to follow format
• Humans Need Not Apply - Awesome video about the future of jobs with AI
• MarI/O - An AI learns to play Super Mario from scratch through Genetic Algorithms
• Viv - Viv, the future of Siri-like AIs. Generates programs on the fly using your query
• Deep Learning Simplified - A series of videos that aims to simplify common deep learning concepts in an easy to understand manner

• Wait But Why AI Article - One of the best reads on AI out there
• Neuralink - Neuralink, the future of AI merged with the brain. MUST READ
• A visual introduction to Machine Learning - A very cool visual introduction to machine learning to help you develop an intuition for how things work
• A few useful things to know about machine learning - A very useful paper that explains a lot of basic concepts about machine learning

• Deep Learning for Coders - Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down. Oh and one other thing... it's totally free!