wang88256187 Goto Github PK

coursera-deep-learning-deeplearning.ai

网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

darknet

Convolutional Neural Networks

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep-reinforcement-learning-with-pytorch

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

deepclustering

Methods and Implements of Deep Clustering

deepmind_mas_enviroment

some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》

dirrtdg

domination-game

Competitive multi-agent game simulation environment for RL courses.

dreamerv3-torch

Implementation of Dreamer v3 in pytorch.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hello-world

learning_to_adapt

Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

light_mappo

Lightweight version of MAPPO to help you quickly migrate to your local environment.

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mat_offline

mate

MATE: the Multi-Agent Tracking Environment.

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pylab

just for test

pysc2-tutorial

Tutorials for building a PySC2 bot

r2plus1d-c3d

A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

remote_repo