A Python package for supervised and unsupervised short text categorization, providing tools for text representation, topic modeling, and neural network classification.

A PyTorch library for efficiently computing the Hessian eigendecomposition, trace, and spectral density of neural networks without the quadratic memory bottleneck.

An AI agent runtime framework that integrates chat, RAG, and agentic loops to enable professional automation tasks across desktop and mobile platforms.

A web-based GUI for Ollama and other local LLM providers that allows users to chat with self-hosted models via a privacy-focused interface.

An AutoML technology for tabular data that synthesizes high-quality machine learning pipelines by learning from a corpus of human-written solutions.

A low-cost sensor-fusion SLAM system for ground vehicles that integrates RGB-D, IMU, wheel odometry, and GNSS to ensure robust localization in challenging corner cases.

A multi-agent orchestration platform that coordinates 39 AI specialists across various coding runtimes to manage software development via structured Express and Standard workflows.

A comprehensive toolkit providing a unified interface to over 90 metrics for evaluating the quality, intelligibility, and technical properties of speech and audio.

A Julia package for data-driven structural estimation and identification of differential equations, allowing users to automatically discover mathematical models from data.

A tool for running and customizing real-time, interactive generative AI video pipelines using autoregressive diffusion models and a composable architecture.

A high-performance MCP management system built with Rust that orchestrates Model Context Protocol services for AI agents and applications.

The official Node.js client library for the DeepL API, enabling developers to integrate high-quality text and document translation into their applications.

A collection of Python tools for building graph-enhanced Generative AI applications using hierarchical lexical graphs and structured knowledge graphs.

A scalable PyTorch reinforcement learning framework accelerated by Lightning Fabric that decouples RL algorithms from their environments for greater flexibility.

Crust is an open‑source, locally‑run proxy that sits between AI coding assistants and LLM providers. It inspects every tool call (file reads, shell commands, network requests) and blocks actions that could expose secrets or harm the host. The gateway works as an HTTP proxy, MCP/ACP stdio wrapper, or Docker container, and includes 42 built‑in security rules, 51 DLP patterns, and a plugin system for custom policies. It runs entirely on the user’s machine, stores logs encrypted in the OS keyring, and offers iOS integration via a Swift package.

A binocular vision system for camera calibration, disparity mapping, and 3D reconstruction using algorithms like ELAS and ADCensus.

A PyTorch-native toolbox for discrete and continuous wavelet transforms that provides GPU acceleration and gradient support for signal and image processing.

A toolkit for developing and deploying TFLite models to mobile devices, providing tools for metadata management, automatic API generation, and optimized task libraries.

A set of Expo modules that wrap Google's MLKit native libraries, enabling on-device machine learning features like face and object detection in Expo apps.

A high-quality, low-bitrate speech codec that compresses audio into discrete tokens, optimized for use in downstream tasks like text-to-speech.

A command-line tool to execute .prompt files, allowing users to treat LLM prompts as versionable artifacts and automate AI workflows via the shell.

A PyTorch-based parallel training system designed to scale deep learning recommendation models up to 100 trillion parameters on commodity hardware.

3D-R1 is a generalist 3D Vision-Language Model that enhances spatial reasoning and scene understanding through synthetic CoT data and reinforcement learning.

A native Rust client for Qdrant, enabling high-performance vector search and database management within Rust applications.

A Python package for automated LLM compression that uses advanced quantization techniques like QEP and AutoBit to reduce model size and VRAM usage.

PE3R is a perception-efficient 3D reconstruction system that converts 2D images into semantically understood 3D scenes using zero-shot generalization.

A Keras and TensorFlow framework for text processing that supports rich text layout information for sequence labeling and text classification.

An open-source software suite for the variational optimization of deep-learning molecular wave functions to simulate electronic ground and excited states.

A collection of practical notebooks for fine-tuning and optimizing audio AI models, including ASR and audio captioning, using the Hugging Face ecosystem.

A multi-task deep learning framework for real-time 2D and 3D human pose estimation and action recognition.

A PyTorch‑compatible library that aggregates 100+ research optimizers, several LR schedulers and loss functions behind a single, consistent API, with optional integrations for low‑precision training.

An inspectable, correction-aware memory system for AI agents that provides durable context across sessions without coupling to a specific model or framework.

A ComfyUI extension that lets you control complex AI image generation workflows (like LoRA loading, prompt scheduling, and regional prompting) using simple text prompts instead of manually wiring dozens of nodes.

A library for large-scale and reproducible hyperparameter optimization (HPO) that supports distributed execution and state-of-the-art tuning methods.

A Streamlit-based vision studio for real-time object detection, segmentation, pose estimation, and tracking using YOLO26 and YOLO World v2.

OmniCustom is a joint audio-video generation framework that creates synchronized videos preserving a specific visual identity and voice timbre based on reference inputs and text prompts.

A library of installable knowledge packs that extend AI agents with structured, domain-specific expertise to automate the full academic research lifecycle from ideation to publication.

A general-purpose AI agent platform for private on-premise deployment featuring a Planner+ReAct architecture and isolated Docker sandboxing for secure tool execution.

A framework that uses Reinforcement Learning from Community Feedback (RLCF) to train AI to judge the potential impact of scientific papers and propose high-impact research ideas.

A Progressive Web App translator that uses OpenAI-compatible chat models to provide flexible, translation services across mobile and desktop.

A multimodal AI project that generates virtual spatial proteomics (mIF) profiles from routine H&E pathology slides for tumor microenvironment modeling.

Kocoro is an open‑source macOS AI‑agent daemon (`shan`) that lets language‑model agents read/write files, control apps, run shell commands, automate browsers, and integrate with Slack/Telegram. It provides a CLI/TUI, HTTP API, MCP streaming, and a real‑time voice front‑brain. Install via npm, a script, or Go build; configure a Shannon Cloud or self‑hosted gateway for LLM completions. The daemon handles permissions, per‑agent memory, scheduling, and extensible tools, while a separate closed‑source GUI (Kocoro Desktop) offers a polished interface. Licensed under MIT.

A local-first desktop application for running and comparing LLM performance across various benchmark sets called Bench Packs against local or remote models.

An open-source model registry library that allows users to version, save, and download machine learning models across multiple cloud storage providers and local filesystems without a tracking server.

A movie recommendation system that uses collaborative filtering and SVD to suggest films to Letterboxd users based on their rating patterns.

A plugin for the `llm` package that orchestrates multiple diverse LLMs to collaboratively solve complex problems through iterative refinement and consensus-based arbitration.

A docking framework based on the Glowworm Swarm Optimization algorithm for predicting interactions between proteins, peptides, and DNA.

A centralized proxy and management platform for Model Context Protocol (MCP) services that allows users to discover, install, and monitor services from a single interface.