A recommender system for GitHub repositories that suggests new projects to users based on their starred repositories.

A ComfyUI extension that automates 3D character rigging and skinning using UniRig and Make it Animatable (MIA) to create animatable meshes.

A token management platform that standardizes various AI model APIs into OpenAI, Anthropic, and Gemini formats to enable unified access across different tools.

A Python framework for extracting acoustic and linguistic features from speech to detect speech disorders and recognize emotions.

An AI-powered stock analysis assistant that combines LLMs, machine learning, and multi-source market data to transform emotional trading into data-driven investing.

A collection of agent skills that enables AI agents to use the VueUse library more accurately and efficiently by reducing token consumption and hallucinations.

A lightweight Gaussian Process library built on JAX that supports GPU acceleration and automatic differentiation.

An MCP server that enables AI agents to control macOS applications and system functions by executing AppleScript and JavaScript for Automation (JXA) scripts.

An extension for Gemini CLI that uses AI to analyze code changes for security vulnerabilities and scans dependencies for known risks.

A just-in-time compiler for ordinary and differentiable computation designed to handle the massive computation graphs typical of differentiable rendering.

A production-ready end-to-end toolkit for small-footprint wake-up word detection designed for low-power IoT devices.

A suite of rerankers featuring pointwise, pairwise, and listwise models to improve the accuracy of search and retrieval systems.

A Jax-based proof-of-concept implementation of Stable-Baselines3, providing high-performance reinforcement learning algorithms with a consistent API.

Tock is an open‑source conversational AI platform that provides an NLP stack, a visual studio for designing dialogue flows, a Kotlin‑based DSL (with Python, Node.js and REST bindings), ready‑made connectors to chat/voice channels, and Docker‑based deployment.

An autonomous economic AI agent that holds a USDC wallet to pay for models and tools, enabling it to perform trading, research, and coding tasks with a hard budget cap.

A command-line tool for running AI-based weather forecasting models, providing a unified interface for data retrieval and model execution.

A GPU-driven communication stack that provides customizable, 0-copy inter-GPU communication primitives to improve performance for scalable AI applications and LLM serving.

A local desktop app for browsing and editing the conversation history of AI coding assistants to fix hallucinations and manage sessions across multiple platforms.

A skill pack and MCP server that provides AI coding agents with real-world product screenshots, UI references, and growth research to enable evidence-based design.

A zero-shot time series forecasting library that transforms time series data into tabular regression problems using the TabPFN foundation model.

An open-source face recognition library using deep neural networks to identify people from images and real-time video streams.

A privacy-preserving framework that lets data scientists run computations on private data without theit data leaving the owner's machine, using existing cloud storage for transport.

IntentKit is a self-hosted, cloud-native agent cluster that manages a collaborative team of AI agents to complete tasks with high reliability and resource efficiency.

A Python library for augmenting text, audio, and spectrogram data to generate synthetic training sets for machine learning models.

An automated code review bot powered by ChatGPT that analyzes pull requests and provides feedback directly in the GitHub PR timeline.

ColPali is a research library for visual document retrieval. It encodes document images with vision‑language models (e.g., PaliGemma, Qwen‑VL) into multi‑vector embeddings and scores them against query embeddings using a ColBERT‑style late‑interaction method. The original `colpali-engine` package (now deprecated) provides model classes, processors, optional fused kernels, fast‑Plaid indexing, token‑pooling, and interpretability tools. New projects should use Sentence‑Transformers v6’s `MultiVectorEncoder`, which integrates ColPali‑style models.

A Python library providing Scikit-learn compatible transformers for comprehensive feature engineering and selection to improve machine learning model performance.

A peer-to-peer verified intelligence network for Bittensor that uses zero-knowledge machine learning (zk-ML) to provide cryptographic Proof-of-Inference for AI model predictions.

An open-source framework for machine learning and computations on decentralized data, enabling global model training while keeping training data local to clients.

A software development kit for Boston Dynamics' Spot robot that enables developers to build custom applications and payloads to control the robot and read sensor data.

A library for Elixir that provides pre-trained neural network models and Hugging Face Hub integration, enabling developers to run ML tasks with minimal code.

A neural network framework for Elixir that provides high-level APIs for model creation and training, powered by Nx for numerical acceleration.

BindsNET is a PyTorch‑based library for building and simulating spiking neural networks on CPU or GPU. It provides neuron models, biologically‑inspired learning rules (e.g., STDP), and tools to turn SNNs into ML or RL agents. Install via pip, Poetry, or Docker, and run examples ranging from MNIST unsupervised learning to Atari game playing.

A PyTorch library for training state-of-the-art multimodal models at scale, providing modular building blocks and pretrained weights for models like CLIP and BLIP-2.

A C++ library for high-dimensional medical image registration and segmentation, used to analyze brain structure and function across species and organ systems.

A model-agnostic Python library for quantifying uncertainty and controlling risks in machine learning models using conformal prediction.

A repository of highly-optimized kernels for deep learning, providing low-precision matrix multiplication and convolution libraries for server-side inference and generative AI.

A benchmarking framework that evaluates the real effective context size of long-context LLMs using synthetic tasks that go beyond simple retrieval.

A collective communications library that provides primitives like allreduce and broadcast for efficient multi-machine machine learning training.

A JavaScript SDK that enables running production-ready LLMs and multimodal AI models directly in the browser using WebGPU acceleration for privacy and zero server costs.

A toolkit for converting dataset annotations from JSON formats like COCO and LabelMe into the YOLO format for object detection training.

A desktop app that records and transcribes meetings in real-time, providing live AI coaching, conversation metrics, and automated post-meeting summaries.

An extensible runtime and trajectory collection framework for long-horizon AI agents that enables state-faithful data export for supervised fine-tuning.

A toolkit for developing Generative AI applications that provides tracing, logging, and evaluation tools to bring rigor to the LLM development process.

The core speech synthesis engine for VOICEVOX, provided as a C and Python library for easy integration into various applications.

A JAX library for building and sampling probabilistic graphical models, focusing on efficient block Gibbs sampling and energy-based models.

An Apple MLX-based LLM engine for LM Studio that enables optimized local inference of text and vision models on macOS.

A local development gateway that lets you run frontier LLMs in your code editor using free browser sessions or local providers, bypassing expensive API keys.