Popular GitHub Repositories for Opensource Game

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

A game theoretic approach to explain the output of any machine learning model.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

? An exciting game of programming and Artificial Intelligence

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

A curated list of papers & resources linked to 3D reconstruction from images.

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

C++ Action Roguelike in Unreal Engine 5.

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

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.

behaviac is a framework of the game AI development, and it also can be used as a rapid game prototype design tool. behaviac supports the behavior tree, finite state machine and hierarchical task network(BT, FSM, HTN)

Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

Simplifying reinforcement learning for complex game environments

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

? behavior tree AI for Godot Engine

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.