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a3c

Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.

a3c-continuous

Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space

andrew-ng-meachine-learning

coursera中Andrew Ng的meachine learning的所有编程测验的原文件

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-rl

Reinforcement learning resources curated

awesome-robotics

A curated list of awesome links and software libraries that are useful for robots.

awesome-robotics-libraries

:sunglasses: A curated list of robotics libraries and software

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

c

比特C语言学习笔记，资料请到比特主页：https://m.cctalk.com/inst/s9yewhfr，或者B站搜索比特鹏哥，讲的十分好的老师！！！

c-language

C语言练习代码

catheter-sofa-simulation

cnn-2d-x-ray-catheter-detection

Catheter segmentation in X-Ray fluoroscopy using convolutional neural networks.

cs231n.github.io

Public facing notes page

darknet

Convolutional Neural Networks

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-reinforcement-learning

《深度强化学习：原理与实践》，Code of the book <Deep Reinforcement Learning: Principles and Practices>

deep-reinforcement-learning-algorithm-collection

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep_rl

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

deeplearning

deeplearning-in-action

《深度学习原理与实践》相关代码——source code of the book <deep learning in action>

deeprl-tensorflow2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

dlaicourse

Notebooks for learning deep learning

dm_control

The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

dqn-atari-agents

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

dsac

Distributional Soft Actor Critic

dual_ur5_husky_mujoco

Dual UR5 Husky Robot MuJoCo Model