A pure Python machine learning library built from scratch for educational purposes, providing transparent implementations of core ML algorithms and an autograd engine.

A PyTorch-based module for implementing and testing Echo State Networks and Reservoir Computing, designed for research purposes and integration into deep architectures.

A NASA-developed C++ library for general-purpose image processing and computer vision, providing tools for camera models, cartographic projections, and mosaic compositing.

A framework for scaling reasoning-capable models through a self-improvement loop of synthetic data generation and automated verification.

A biomolecular modeling library used for the computational analysis and design of protein structures, enzymes, and biological macromolecules.

A set of plugins for radare2 that integrates LLMs to assist in reverse engineering tasks such as function explanation, vulnerability discovery, and augmented decompilation.

A Clojure library for fast tensor and neural network computations that leverages optimized native libraries for CPU and GPU acceleration.

An AI-native presentation platform that uses a JSON-based intermediate language called MulmoScript to generate multi-modal content including videos, podcasts, and slide decks.

A C/C++ library that extends ONNX Runtime with custom operators to handle pre- and post-processing for vision, text, and NLP models within the ONNX graph.

A toolchain for deploying optimized AI algorithms on low-cost embedded devices and microcontrollers, supporting computer vision, anomaly detection, and scenario-specific tasks.

An agent execution engine that replaces simple ReAct loops with a Plan-Observe-Replan (POR) system for more reliable complex task execution.

VizSeq is a Python toolkit for visual, interactive analysis of text‑generation outputs (MT, summarisation, captioning, speech/video translation, etc.). It computes many standard and embedding‑based metrics in parallel and displays results in Jupyter notebooks or a built‑in web app, with optional Fairseq integration.

A PyTorch implementation for jointly reconstructing 3D topology, materials, and lighting from multi-view images using Monte Carlo rendering and denoising.

An MCP server that enables AI agents to interact with 60+ EVM-compatible blockchains, providing tools for token transfers, smart contract interaction with automatic ABI fetching, and ENS resolution.

A neural network based algorithm for heterogeneous cryo-EM and cryo-ET reconstruction that models continuous distributions of 3D structures.

A PyTorch-based quantum computing SDK for simulating, optimizing, and running quantum circuits on simulators or real hardware, featuring differentiable execution and specialized spin-qubit support.

An agentic coding tool for WordPress that allows users to plan, generate, and review plugin and theme code directly within the admin dashboard using LLMs.

A PyTorch library for offline reinforcement learning that provides a standardized framework and implementations of state-of-the-art model-free and model-based algorithms.

A persistent memory system for AI coding assistants that uses a structured Markdown-based memory stack to maintain project context, rules, and progress across sessions.

A neural networks toolbox for medical image analysis that provides specialized tensor operations, prebuilt architectures, and plotting tools for spatial data.

A lightweight Python framework for parallel, isolated multi-agent reasoning and consensus, preventing agent bias and groupthink in high-stakes decision-making.

A library that transforms ONNX models into PyTorch models, allowing users to utilize PyTorch's backend and neural network manipulation tools.

An AI-powered tool that transforms topics or files into interactive, visual mind maps using LLMs and a custom SVG rendering engine.

An open-source AI pair programming app that uses a Mentor agent to review and a Executor agent to write code, reducing hallucinations through cross-validation.

A RAG service built with FastAPI and LangChain that provides a REST API for managing document collections and performing semantic searches using PostgreSQL and pgvector.

A pure Rust machine learning and deep learning library that provides a complete workflow from data preprocessing to model evaluation without C/C++ dependencies.

A comprehensive benchmarking suite for scientific machine learning and equation solvers that measures work-precision efficiency across various numerical methods.

A two-stage training framework that uses dynamic reward optimization to enable image generation models to accurately combine multiple reference images of different types.

A set of ComfyUI custom nodes that load and stack LoRA weights for Nunchaku Qwen‑Image, Z‑Image‑Turbo, and Krea2 ControlNet models, with UI controls, experimental AWQ‑modulation support, and DiffSynth ControlNet integration.

A library and CLI tool for Node.js applications to detect if they are being executed by AI agents or AI-powered coding environments to adapt their output.

A privacy-focused, offline document translation tool that translates various file formats while preserving original layouts using local LLMs and OCR.

he4o is an AGI system based on Helix Entropy Reduction Theory that combines pre-designed rules with dynamic learning to achieve embodied intelligence and lifelong learning.

A GPU acceleration library for differential equation solvers that enables parallel solving across many parameters and initial conditions.

A command-line tool that uses an LLM to translate plain-English descriptions of video and audio tasks into executable ffmpeg commands.

Official ROS 2 wrapper for Stereolabs ZED depth cameras, providing image, depth, point‑cloud, SLAM, object detection, body tracking, GNSS fusion and simulation support. Installable on Ubuntu with ZED SDK and CUDA, launchable via `ros2 launch zed_wrapper zed_camera.launch.py`.

A Python-based AI agent framework that automates complex task decomposition and execution across multiple LLM providers with built-in scheduling and persistent memory.

A PyTorch library implementing various graph neural networks for weather forecasting and data assimilation, including models like GenCast and Aurora.

A Dart FFI binding for llama.cpp that enables running LLMs, vision, and audio models locally within Flutter apps on iOS and Android.

A high-frequency trading framework in Java and Python that enables L2 tick-data backtesting and live market execution using a unified codebase.

A collection of common utilities and functions used by converters to translate AI models from various frameworks into the ONNX format.

An MCP server that enhances LLM clients with a multi-agent system for sequential thinking, processing each thought through a team of specialized AI agents for multi-dimensional analysis.

A Python and JavaScript solution for near-real-time audio streaming and transcription using WebSockets, Voice Activity Detection, and Faster Whisper.

A large-scale synchronized dataset of video, audio, and tactile force data from robotic sliding contact used for material recognition and cross-modal learning.

A multi-language API for industrial robot simulation and offline programming that allows developers to program any industrial robot arm using universal languages instead of vendor-specific ones.

A Python API for the GraspNet-1Billion dataset, providing tools to load, process, and validate grasp labels and point cloud data for robotic grasping research.

A suite of human-collected datasets and a benchmark for open vocabulary visuolinguomotor learning, enabling robots to execute a vast array of natural language instructions.

An open-source, low-cost electronic speed controller (ESC) for brushless DC motors designed specifically for robotics, supporting FOC and multiple control modes.

A visual SLAM system that uses points, lines, and planes for efficient sparse mapping and localization across monocular, RGB-D, and stereo cameras.