zhangfanfeynman's Stars
jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
cyoon1729/Policy-Gradient-Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
easy-tensorflow/easy-tensorflow
Simple and comprehensive tutorials in TensorFlow
tflearn/tflearn
Deep learning library featuring a higher-level API for TensorFlow.
gaussic/text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
jtoy/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
gto76/python-cheatsheet
Comprehensive Python Cheatsheet
Chalarangelo/30-seconds-of-python
Short Python code snippets for all your development needs
pat-coady/trpo
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
MatthewJA/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
rlcode/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
fchollet/keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
astooke/rlpyt
Reinforcement Learning in PyTorch
lyhue1991/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
skywind3000/awesome-cheatsheets
超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:
jlevy/the-art-of-command-line
Master the command line, in one page
yzhao062/combo
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
dipanjanS/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
ctgk/PRML
PRML algorithms implemented in Python
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
yalidu/liir
Learning Individual Intrinsic Reward in MARL
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
omerbsezer/Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
facebookresearch/ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
joschu/modular_rl
Implementation of TRPO and related algorithms
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.