481 Open source projects that are alternatives of or similar to muzero

🐵 An AI chess-board-game framework(by many programming languages) implementations.

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

🐳 GAN implemented as Tensorflow 2.X

AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.

基于Tensorflow2开发的优秀扩展包及项目

Deep Learning big homework of UCAS

datasets for computer go

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Deep reinforcement learning with tensorflow2

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

🌈 Spectral Normalization implemented as Tensorflow 2

self defined efficientnetV2 according to official version. Including converted ImageNet/21K/21k-ft1k weights.

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

transformer in tensorflow 2.0

A pytorch tutorial for DRL(Deep Reinforcement Learning)

The official code repository for "TensorFlow in Action" by Manning.

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

An out-of-the-box GUI tool for offline deep reinforcement learning

A Real-Time-Strategy game for Deep Learning research

Eagerly Experimentable!!!

alphaGo版本的五子棋(gobang, gomoku)

使用深度强化学习解决视觉跟踪和视觉导航问题

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Cloud-native Financial Reinforcement Learning

A high-level framework for advanced deep learning with TensorFlow

source code for 'Improving automatic source code summarization via deep reinforcement learning'

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

A minimal TF2 re-implementation of the OpenAI GPT training

Русскоязычный чат-бот для Discord на архитектуре Transformer

Popular Versus Saxton Hale gamemode remade from scratch

Get item prices and volumes from the Steam Community Market using Python 3

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

No longer supported.

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

2019北京大学软件与微电子学院曹健老师的《人工智能实践》作业，有完整的注释,欢迎提出issue以及request

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

Team Fortress 2 battle royale gamemode

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210

Live Trading. Please star.

CallAdmin is a multilingual sourcemod plugin which provides in-game report functionality

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

TensorFlow2+ graph image augmentation library optimized for tf.data.Dataset.

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

High-speed Autonomous Drifting with Deep Reinforcement Learning

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

A Monte-Carlo based AI to beat 2048

Improved TabNet for TensorFlow

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

This project presents a simple framework to retrieve images similar to a query image.