Modularized Implementation of Deep RL Algorithms in PyTorch

Deep Reinforcement Learning in Pac-man

A toolkit for developing and comparing reinforcement learning algorithms.

Hidden Markov Models in Python, with scikit-learn like API

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

A python tutorial on bayesian modeling techniques (PyMC3)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

An Open Source Machine Learning Framework for Everyone

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!