wxw0's Stars
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
kuoruan/shell-scripts
Linux Shell Scripts
araffin/rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
google-research/bert
TensorFlow code and pre-trained models for BERT
budaLi/-Learning-materials-
各种学习资料,包括一些百度云视频链接还有pdf资料 --搬运工
tcp-nanqinlang/wiki
wikis of tcp-nanqinlang series
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
google-deepmind/trfl
TensorFlow Reinforcement Learning
junhyukoh/value-prediction-network
NIPS 2017 Value Prediction Network
berkeleydeeprlcourse/homework
Assignments for CS294-112.
TianhongDai/reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
openai/baselines-results
tensorflow/models
Models and examples built with TensorFlow
devsisters/DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
AdaCompNUS/qmdp-net
QMDP-Net implementation
hi-abhi/tensorflow-value-iteration-networks
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
awjuliani/DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
tensorforce/tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
Farama-Foundation/Arcade-Learning-Environment
The Arcade Learning Environment (ALE) -- a platform for AI research.
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
BIT-thesis/LaTeX-template
LaTeX template for BIT thesis
SerpentAI/SerpentAI
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
0x-2a/Intellij-Colors-Sublime-Monokai
Syntax color theme for JetBrains products inspired by Sublime Text's Monokai Theme