Popular GitHub Repositories for Environment Validation

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.

structured outputs for llms

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

StarCraft II Learning Environment

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Setup and customize deep learning environment in seconds.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

? Open-Source Evaluation & Testing library for LLM Agents

? Open-Source Evaluation & Testing for AI & LLM systems

The open-source visual AI programming environment and TypeScript library

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

An API conversion tool for popular external reinforcement learning environments

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

A minimalist environment for decision-making in autonomous driving

Surf is a computer use AI agent powered by OpenAI that interacts with a E2B's virtual desktop environment through natural language instructions

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.