Yuguang Yang's repositories
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
academic-kickstart
Easily create a beautiful website using Academic and Hugo
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
CmakeExamples
a series of Cmake examples
D4PG
Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym environments.
GAN-Pytorch
Pytorch implementation of GANs
json
JSON for Modern C++
leetcode
Python & JAVA Solutions for Leetcode
mfrl
Mean Field Multi-Agent Reinforcement Learning
MultiagentDRL
MultiagentDRL in the gridworld
networkx
Official NetworkX source code repository.
ParallelMD
a series of Parallel MD code
pybind11_examples
Examples for the usage of "pybind11"
pytorch-a2c-ppo-acktr
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
ReinforcementLearning-AtariGame
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
rl-collision-avoidance
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
SeqGAN
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
TD3
Benchmarking TD3 and DDPG on PyBullet
tensorflow-build
TensorFlow binaries supporting AVX, FMA, SSE
Tensorflow-Tutorial
Tensorflow tutorial from basic to hard