huangyumeng Goto Github PK

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

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程

deepmimic

Motion imitation with deep reinforcement learning.

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

dqn

Lua/Torch implementation of DQN (Nature, 2015)

gps

Guided Policy Search

hands-on-reinforcement-learning-with-python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

kuka_pybullet-for-pick-and-place

# Kuka_Pybullet for pick and place This script can be used for the research of robotic reinforcement learning. The script builds a simulation environment for robot manipulation about pick and place based on the pybullet simulation environment. Users can incorporate this environment into the reinforcement learning algorithm for online data collection and performance evaluation. ## Instructions The code was tested on Linux with Python3.6. Use of virtualenvs is recommended. To run: ``` pip install -r requirements.txt python main.py

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

manipulation

Course notes for MIT manipulation class

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mbbl

mil

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

parl

PARL A high-performance distributed reinforcement learning framework

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pybullet_robots

Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)

pysc2-agents

This is a simple implementation of DeepMind's PySC2 RL agents.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reward-learning-rl

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

rlbench

A large-scale benchmark and learning environment.

sac

Soft Actor-Critic

spinningup

An educational resource to help anyone learn deep reinforcement learning.

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists