Popular GitHub Repositories for Battleship Environment

The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.

StarCraft II Learning Environment

Setup and customize deep learning environment in seconds.

The open-source visual AI programming environment and TypeScript library

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

A minimalist environment for decision-making in autonomous driving

An open-source visual programming environment for battle-testing prompts to LLMs.

Must-read Papers on LLM Agents.

A unified framework for privacy-preserving data analysis and machine learning

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

SAPIEN Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc.

Reinforcement Learning environments based on the 1993 game Doom :godmode:

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

The leading open-source AI copilot for JetBrains. Connect to any model in any environment, and customize your coding experience in any way you like.

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

The collaboration workspace for Machine Learning