Popular GitHub Repositories for Gba Emulator

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

A versatile game save backup manager, featuring Steam detection, Minecraft support, drag & drop, desktop shortcuts and emulator compatible.

A minimal C implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning

TinyFive is a lightweight RISC-V emulator and assembler written in Python with neural network examples

A GUI-based AI development tool with integrated Metaphor support

Emulates Azure OpenAI API on your local machine using Ollama and open-source models.

Terminal CryptoDeepTech for Google Colab

Automatically generate gameboy music using machine learning

Tartarus is a multi-agent emulator for Static as well as Mobile Agents.

Neural Emulator Architectures in JAX.

Emulator and AI of Shadowverse

This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a toolkit to develop and compare reinforcement learning algorithms. The learning agent takes raw pixels from the atari emulator and predicts an action that is fed back into the emulator via OpenAI interface. The deep reinforcement learning network used in this project is Deep Q Network (DQN), it took over 10 million episodes to perfectly play and win the game.

This repository explores the application of three reinforcement learning algorithms—Deep Q-Networks (DQN), Double Deep Q-Networks (DDQN), and Proximal Policy Optimization (PPO)—for playing Super Mario Bros using the OpenAI Gym and nes-py emulator. It includes a comparative analysis of these models.

NEAT program which learns different SNES/NES games from the Bizhawk emulator

Easily extendable LoRa simulator. Test your real application in a LoRa enviroment.

AI model training to produce arts in GBA FE style

?️ Modern web-based terminal simulator with authentic Ubuntu interface. Features complete file system, built-in text editor, file download/save capabilities, multi-language support, and responsive design. Perfect for learning, demos, or just having fun with a terminal in your browser!

In this demo, you will use one of the Microsoft Cognitive Services API's to bring intelligence to a Xamarin.Forms application.

AI Gym environment for Castlevania: The Adventure (Game Boy), using the PyBoy emulator.