dianalyx

rudder

RUDDER: Return Decomposition for Delayed Rewards

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

InstanceBasedLearning

[NeurIPS 2022] Instance-based Learning for Knowledge Base Completion

DRL

Deep Reinforcement Learning

PRML-Solution-Manual

My Own Solution Manual of PRML

AILabs

rPPG-Toolbox

rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

oneAPI-samples

Samples for Intel® oneAPI Toolkits

IPU-Training

word-embedding-creation

A project to create your very own word embeddings

PPO-Implementation-Deep-Dive

DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details

Deep-Reinforcement-Learning-Algorithm-Collection

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

reinforcement-learning

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

reinforcement-learning

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

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

Obstacle-Tower-Challenge-using-Deep-Reinforcement-Learning

Tackling Obstacle Tower Challenge using PPO & A2C combined with ICM.

acme

A library of reinforcement learning components and agents

ICM-PPO-implementation

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML

pytorch_ppo_rl

Pytorch implementation of intrinsic curiosity module with proximal policy optimization

ppo-pytorch

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

Deep-Reinforcement-Learning-Survey

My Exploration on Deep Reinforcement Learning Survey

large-scale-curiosity

Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

Youtube-Code-Repository

Repository for most of the code from my YouTube channel

smarties

Lightweight and scalable framework for Reinforcement Learning