Popular GitHub Repositories for Amazon Games

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

? wukong-robot 是一个简单、灵活、优雅的中文语音对话机器人/智能音箱项目，支持ChatGPT多轮对话能力，还可能是首个支持脑机交互的开源智能音箱项目。

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Artificial Intelligence Infrastructure-as-Code Generator.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

MiniMax-01 is a simple implementation of the MiniMax algorithm, a widely used strategy for decision-making in two-player turn-based games like Tic-Tac-Toe. The algorithm aims to minimize the maximum possible loss for the player, making it a popular choice for developing AI opponents in various game scenarios.

A library for training and deploying machine learning models on Amazon SageMaker

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. ?25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. ? Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

✨ Add autocomplete and AI to your existing terminal on macOS & Linux

?TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

6DoF Head tracking software

Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

Code and other material for the book "Deep Learning and the Game of Go"

:video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games