The HIP Environment and ROCm Kit - A lightweight open source build system for HIP and ROCm
Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them
simplified environment variable parsing
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
Evaluate and improve models and agents using environments
Multi-objective Gymnasium environments for reinforcement learning
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
An integrated package configuration, build and deployment system for software
The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
NVIDIA Federated Learning Application Runtime Environment
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
AndroidWorld is an environment and benchmark for autonomous agents
Untitled Goose Tool is a robust and flexible hunt and incident response tool that adds novel authentication and data gathering methods in order to run a full investigation against a customerβs Azure Active Directory (AzureAD), Azure, and M365 environments.
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
open-source framework for creating and managing simulations populated with AI-powered agents. It provides an intuitive platform for designing complex, interactive environments where agents can act, learn, and evolve.
Gymnasium environments for NES Mario games, with task metadata, reward instrumentation, and reproducible evaluation interfaces.
δΈη«εΌζε»Ίε€ζΊγεΉ²εγδΈͺζ§εηι θ―»η―ε’(Build a multi-source, clean and personalized reading environment in one stop.)
πΉοΈ A diverse suite of scalable reinforcement learning environments in JAX
Cosmos-Transfer1 is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.
Save Desktop saves your Linux desktop environment configuration
A set of communication oriented environments
Fully dockerized Linux kernel debugging environment for Linux and MacOS
Drop-in replacement for argparse with added support for config files and environment variables.
E2E test framework for tests with complex environment requirements.
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
An app and guide to easily configure Windows, Linux, MacOS, Google TV, Stremio, Home Assistant and more (including WSL2, GPU drivers & development tools). Improve your UX & productivity.
Official reinforcement learning environment for demand response and load shaping
A unified framework for robot learning
LiteReality-Agent: Turn the real world into simulation-ready environments.
Generative plotter art environment for Python
Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
my environment for woodworking
Package conda environments for redistribution
EnvKit β free local development environment for Windows & macOS: nginx/Apache, multiple PHP versions, MySQL/MariaDB, PostgreSQL, Redis, MongoDB, Mailpit, Node.js, trusted .test HTTPS, and a built-in MCP server for AI-assistant control. A Laragon/XAMPP/Herd alternative.
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Lightweight lockfile for conda environments
Python framework for integrating geospatial data, 3D city modeling, and urban simulation.
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
A training-free multi-agent framework for recursive self-improvement in new environments through broad-then-deep autonomous exploration and reusable memory.
Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
Poke-env: Python Interface for Pokemon Showdown Bots
Tangle is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
An open-source game coding agent environment and benchmark for Godot.
The official code of Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
RSIGym: A Flexible Environment for Recursive Self-Improvement
VietAIDetector: A robust, zero-shot AI-generated text detection system for Vietnamese. Built on the VietBinoculars algorithm with PhoGPT-4B and featuring Vintern-1B VLM for scanned PDF OCR. Optimized for dual-GPU environments with a Gradio Web UI.
Dexterous pen spinning and Rubik's cube: sim environments, zero-shot scripts, trained checkpoints
RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents
A professional Python-based tool for analyzing and visualizing historical global temperature trends and climate anomalies.
A visual analysis and production toolkit for game environment artists. UI: Simplified Chinese; English, Traditional Chinese, Japanese, and French previews.
Home Environment Ambient Radio-frequency Toolkit for Health
Dogfight RL environment based on Harfang3D dogfight sandbox
ScienceIDE: Turning Worldβs Scientific Codebase into Agent Learnable Environments
3d Gaussian Splatting pipeline for Isaac Sim .usd environment creation.
A framework for building synthetic worlds for AI agents. Useful for RL and evaluation environments.
An environment where open models work as agents: a first-level harness with routing, skills, memory and sandboxed tools, on an engine that drafts and verifies its own tokens.
Generate Mujoco environments from natural language
A complete software environment for modeling and simulating materials, tailored for a MOF chemist