URDF Studio is a browser‑based robot authoring workstation that lets you edit URDF/MJCF/USD models, assemble multiple robots, export to many formats, and use an AI assistant for generation and inspection. Built with React, Three.js, TypeScript and Zustand, it also ships a reusable `@urdf‑studio/react‑robot‑canvas` component. Apache‑2.0 licensed.

A suite of integration packages that bridge ROS and the Gazebo simulator, enabling bidirectional communication and sensor data transport for robotics simulation.

A framework for combining human demonstrations with simulation-trained whole-body controllers to enable mobile manipulation skills on quadruped robots with arms.

A tool for integrating safe runtime monitors into systems like NASA's Core Flight System and ROS, automating the generation of real-time C99 glue code.

A Sim-to-Real locomotion starter kit for the Unitree Go2 quadruped robot that adapts the walk-these-ways framework to the unitree_sdk2 architecture.

A ROS 2 integration for nvblox that enables real-time 3D scene reconstruction and 2D costmap generation for vision-based obstacle avoidance in robots.

A high-fidelity digital twin project for Unitree Go2 and G1 robots in Nvidia Isaac Sim, enabling real-time synchronization between physical robots and their virtual counterparts.

M2DGR is a large-scale, multi-modal SLAM dataset for ground robots featuring rich sensory data and challenging real-world scenarios to benchmark navigation algorithms.

A unified platform and benchmark for scalable robot learning that integrates multiple simulation frameworks and datasets into a single interface.

ChatTS is a multimodal LLM designed for native understanding and reasoning over multivariate time series, allowing users to perform conversational question-answering on numerical data.

A lightweight, on-device voice dictation tool for macOS that uses Apple's native speech APIs to paste transcribed text into any active application privately.

A cross-platform React Native and Expo library that provides a unified API for speech-to-text functionality across iOS, Android, and the Web.

An AI-powered film editing assistant that transcribes, indexes, and searches video footage, allowing editors to use LLMs to automatically create story selections for export to editing software.

PocketSphinx is an open‑source, offline speech‑to‑text engine (C library with Python bindings) that runs efficiently on low‑resource devices. It provides a command‑line tool and APIs for recognizing or aligning audio, outputting results as JSON.

A collection of portable, standardized skills for AI coding assistants that enable them to interact with databases, productivity tools, and cloud infrastructure.

A CLI tool for packaging and deploying AI/ML models to production, automating containerization, GPU configuration, and dependency management.

An AI-driven navigation hub that uses autonomous agents to discover, evaluate, and organize high-quality open-source AI projects from GitHub into an auto-updating directory.

Docker images for ComfyUI that provide pre-configured environments for NVIDIA, AMD, Intel, and CPU setups to simplify deployment of the node-based AIGC GUI.

AI Image Detector is an open‑source Python tool that estimates how likely an image was generated by AI. It ships with several ready‑made back‑ends (UnivFD, Sentry, Nonescape, hybrid ensembles) and lets you run a single command (`aidetect detect …`) on a file or folder, outputting a probability and label. Optional extras give a Gradio web UI or a FastAPI server. The repo includes benchmarking scripts, threshold‑calibration, and clear guidance on which backend to pick. It’s a lightweight, install‑once‑run‑anywhere utility for AI‑image detection, with documented limitations (no universal guarantee, no region‑level localization).

An open-source infrastructure for world models that provides a unified stack for inference, asset staging, and benchmark evaluation across video generation, 3D/4D representations, and embodied AI.

A deterministic, pattern-based humanizer that rewrites AI-sounding text into natural language across four languages while strictly preserving factual meaning.

A desktop client that allows users to send prompts to multiple AI bots concurrently to compare their responses and find the best result.

Claude Code Development Workflows is a set of Claude Code plugins that turn the Claude AI assistant into a structured development pipeline. The plugins provide “recipes” (e.g. `/recipe‑implement`, `/recipe‑design`, `/recipe‑review`) that enforce outcome agreement, design documentation, work‑plan generation, task‑level implementation with automated verification, and an independent security review. Three plugin families cover backend, React frontend, and full‑stack projects, and they can be installed via Claude’s marketplace. The system is useful when you need repeatable safety gates and a formal hand‑off between design and code generation; for quick prototypes you can skip it.

A Python developer kit for accessing and working with the NVIDIA Physical AI Autonomous Vehicles Dataset to build end-to-end driving systems.

Alpamayo 1 is a Vision-Language-Action model for autonomous driving that combines reasoning traces with trajectory prediction to handle complex, rare driving scenarios.

An official Ultralytics plugin for Flutter that enables real-time YOLO model inference for object detection, segmentation, and pose estimation on iOS and Android.

An open-source data engineering harness that provides LLMs with deterministic tools for SQL analysis, column-level lineage, and warehouse connectivity across major cloud platforms.

A git-backed failure-memory system that allows AI agents to search and reuse verified recovery lessons to avoid repeating known debugging errors.

An AI-powered computer automation tool that uses LLMs to self-drive a PC by simulating keyboard and mouse inputs based on visual feedback.

A Lie theory library for robotics state-estimation that provides C++ and Python tools for handling rotations, translations, and velocities across various Lie groups.

A collection of Model Context Protocol (MCP) servers and tools that enable AI agents to securely interact with IBM products and enterprise resources.

A Kubernetes operator for self-hosting OpenClaw AI agents, providing production-grade security, observability, and automated lifecycle management through a declarative API.

An interactive visualization tool for PyTorch models that allows users to trace and visualize the forward pass directly in notebooks.

OpenRath is a multi-agent and multi-session framework that treats agent state as composable Python objects, designed for building complex, traceable, and production-ready AI workflows.

A framework for RAG pipelines that automatically selects the best chunking strategy for each document by evaluating it against five intrinsic quality metrics.

A PyTorch-based framework for simulating quantum computations on classical hardware, enabling the training of parameterized quantum circuits and hybrid classical-quantum models.

A library for chest X-ray datasets and models, providing pre-trained models and a uniform interface for working with multiple public chest X-ray datasets.

NetKet is a Python library built on JAX that uses neural networks and machine learning to study many-body quantum systems.

A modular Python implementation of a RAG pipeline designed for learning and experimentation, featuring hybrid retrieval and support for multiple LLM backends.

A planning-and-execution layer for AI coding agents that turns high-level requests into structured plans and parallelized PRs through a rigorous design-and-review workflow.

A local-first agentic personal knowledge management system that provides a portable, user-owned memory and governance layer for any LLM.

A domain-specific language for computational social science and market research that enables the design and run of surveys and experiments using AI agents and LLMs.

A hypergraph-driven Retrieval-Augmented Generation (RAG) framework that reduces LLM hallucinations by capturing complex, beyond-pairwise relationships in domain-specific knowledge.

A free and fast computer vision solution tailored for robots in the FIRST Robotics Competition, providing tools for easy integration and vision processing.

A library of CUDA-accelerated fundamental algorithms and primitives for machine learning and data mining, designed as building blocks for high-performance AI applications.

A drop-in prompt compression library that reduces LLM input-token costs by 10-40% using loss-tolerance routing to protect critical code and tool calls while compressing prose.

A tool that analyzes repositories to find and apply the cheapest, most reliable AI coding configuration by testing candidates against real-world tasks.

An interactive visualization tool for educational purposes that explains the geometric intuitions behind diffusion and flow-based generative models.