1168 Open source projects that are alternatives of or similar to Pytorch Rl

A Survey on Text-to-Image Generation/Synthesis.

A reinforcement learning environment for self-driving cars in the browser.

Research repo of RL

Implementations of selected inverse reinforcement learning algorithms.

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

Deep Developmental Reinforcement Learning

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

Tensorflow implement of "Eye In-Painting with Exemplar Generative Adversarial Networks"

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

No description or website provided.

RAISIM, A PHYSICS ENGINE FOR ROBOTICS AND AI RESEARCH

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

A curated list of awesome projects which use Machine Learning to generate synthetic content.

Repository for most of the code from my YouTube channel

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

A 1D toy example of optimizing a generative model using the WGAN-GP model.

Simple GAN example using tensorflow JS core

Deep Q-learning for playing tetris game

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

Fitness landscape exploration sandbox for biological sequence design.

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Evaluating pre-trained navigation agents under corruptions

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Awesome Generative Adversarial Networks with tensorflow

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Pointer-generator reinforced seq2seq summarization in PyTorch

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

use AI to play some games.

MCTS project for Tetris

Code for deep generative prior (ECCV2020 oral)

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

No description or website provided.

Trading with recurrent actor-critic reinforcement learning

List of awesome resources for machine learning-based algorithmic trading

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

My Exploration on Deep Reinforcement Learning Survey

📡 Organized Resources for Deep Learning Researchers and Developers

Conditional GAN for generating synthetic tabular data.

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

Playing Mario with Deep Reinforcement Learning

Deep Reinforcement Learning library for humans