machine learning

Machine Learning

• Machine Learning Crash Course - with TensorFlow APIs, Google's fast-paced, practical introduction to machine learning
• The Facebook Field Guide to Machine Learning is a six-part video series developed by the Facebook ads machine learning team. The series shares best real-world practices and provides practical tips about how to apply machine-learning capabilities to real-world problems.
• Top-down learning path, A complete daily plan for studying to become a machine learning engineer.
• Mathematics For Machine Learning, pdf
• Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
• ML-From-Scratch, Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.
• 100-Days-Of-ML-Code, 100 Days of Machine Learning Coding as proposed by Siraj Raval
• MLAlgorithms, A collection of minimal and clean implementations of machine learning algorithms.
• IBM/elasticsearch-spark-recommender, Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
• interpretable-ml-book, Explaining the decisions and behaviour of machine learning models.
• Machine Learning Systems Design, A booklet on machine learning systems design with exercises
• cheatsheets VIP cheatsheets for Stanford's CS 229 Machine Learning https://stanford.edu/~shervine/teaching/cs-229/

Deep Learning

• deeplearningbook
  • Deep Learning Book Chinese Translation
  • DeepLearningBook读书笔记
• 动手学深度学习，面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
• Deep Learning for Java, Open-source, distributed, deep learning library for the JVM
• https://github.com/scutan90/DeepLearning-500-questions

Reinforcement Learning

• Awesome Deep Reinforcement Learning

Frameworks

• TensorFlow
  • stanford-tensorflow-tutorials This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. http://cs20.stanford.edu
  • TensorFlow Course, Simple and ready-to-use tutorials for TensorFlow
  • EffectiveTensorflow TensorFlow 1.x and 2.x tutorials and best practices.
  • tinyflow, Tutorial code on how to build your own Deep Learning System in 2k Lines
• Torch, A SCIENTIFIC COMPUTING FRAMEWORK FOR LUAJIT
  • PyTorch
    • PyTorch Tutorial for Deep Learning Researchers
    • pytorch-book, PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
• Caffe is a deep learning framework made with expression, speed, and modularity in mind.
• scikit-learn: machine learning in Python https://scikit-learn.org

Game

• Awesome-Game-AI, A curated, but incomplete, list of game AI resources on multi-agent learning.
• RLCard: A Toolkit for Reinforcement Learning in Card Games
• while True: learn(), Simulator of a machine learning specialist
• DeepLeague - leveraging computer vision and deep learning on the League of Legends mini map + a dataset of over 100,000 labeled images to further A.I research within esports.
• Awesome StarCraft AI, A curated list of resources dedicated to StarCraft AI.

AlphaZero

• AlphaZero_Gomoku, An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
• Tencent/PhoenixGo, Go AI program which implements the AlphaGo Zero paper

Datasets

• List_of_datasets_for_machine-learning_research
• The 50 Best Free Datasets for Machine Learning
• quickdraw-dataset, Documentation on how to access and use the Quick, Draw! Dataset.
• chinese-poetry The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。 http://shici.store