An AI-powered decentralized learning community that creates personalized knowledge bases and adaptive practice questions based on a user's learning trajectory.

AgML is a comprehensive library for agricultural machine learning that provides standardized access to a wealth of public agricultural datasets for common deep learning tasks.

A framework for high-quality, large-scale 3D scene reconstruction using Gaussian Splatting, featuring multi-GPU support and geometrically accurate rendering.

A collection of specifications and tools for 360-degree video and spatial audio to ensure immersive media is correctly recognized and played back.

A robust LiDAR-Inertial Odometry system that provides motion estimation without requiring sensor-specific modeling, making it compatible across various robotic platforms.

MCAP is a serialization-agnostic logging library and file format designed for efficient data recording and analysis in robotics applications.

A CLI tool that runs AI coding agents in a continuous loop to autonomously create, test, and merge pull requests for large-scale software projects.

A storage-tier-aware LLM inference scheduler for Apple Silicon that enables running models larger than physical memory by streaming tensors from NVMe storage.

A tool that exposes Supermemory containers as a local filesystem or virtual bash environment, enabling the use of standard Unix tools and semantic search for memory management.

AdaRubric is a framework that generates task-specific evaluation rubrics and dense reward signals to reliably evaluate and filter LLM agent trajectories for reward learning.

A local-first document management and semantic search server for AI agents that provides a private knowledge base with a built-in web UI and hybrid search.

A differentiable dynamical core for global atmospheric modeling written in JAX, designed to integrate physical equations with AI for weather and climate forecasting.

An open-source, self-hosted workspace for small merchants to automate the creation of product marketing assets using AI-powered visual workflows for copy and image generation.

An open-source platform for affordable quadruped mini robots used for physical AI education, gait research, and reinforcement learning.

A series of ultra-efficient reasoning models (1.5B and 3B parameters) that achieve frontier-level performance in math and coding through a Spectrum-to-Signal post-training methodology.

A lightweight Vue 3 prototype template for building AI chat interfaces, featuring multi-model API integration and streaming rich-text rendering.

A modular, map-agnostic navigation framework for ROS that provides flexible interfaces for path planning, control, and recovery behaviors.

A high-precision news crawler in Python that extracts clean text and images from live websites and the CC-NEWS archive for large-scale corpus creation.

A single-binary Go client for NotebookLM that provides a scriptable CLI, an interactive chat client, and an MCP server for AI agents.

A no-code AI-powered API development suite that transforms API specifications into executable contracts to eliminate integration headaches and enable independent service deployment.

sosumi.ai is a Node‑based service that converts Apple Developer documentation (including Swift docs, HIG, and WWDC transcripts) into clean Markdown, making the content easy for AI models and automation tools to consume. It offers a simple URL rewrite, an HTTP/MCP API, a CLI, a Chrome extension, and can be self‑hosted on Cloudflare Workers or any Hono‑compatible runtime.

A medical imaging solution accelerator that ingests and indexes DICOM files to enable SQL-based metadata analysis and AI-powered image segmentation using MONAI.

A high-performance DataFrame library that serves as a drop-in replacement for Pandas, using MPI and JIT compilation to accelerate large-scale data processing for AI/ML.

A Telegram news aggregator that scrapes content from multiple channels, clusters similar posts, and organizes them into a trusted feed.

A local chat data reader and automation tool for WeChat 4.x that decrypts local databases and media to provide structured access via API and TUI.

A canonical library of shared, reusable skills and workflows for coding agents to standardize tasks like PR resolution, goal tracking, and TDD.

An AI agent skill that directs the creation of cinematic, high-performance websites using a disciplined pipeline of art direction, asset generation, and strict anti-slop linting.

A Python library providing natural language processing tools specifically tailored for pre-modern and historical languages, supporting both LLMs and traditional NLP backends.

A high-performance 3D voxel layer for ROS that uses OpenVDB and temporal decay to efficiently represent dynamic environments for robot navigation.

A toolkit that gives AI agents custodied wallets and gasless stablecoin payment capabilities to pay for web tools and services autonomously.

A high-performance Python library for Generalized Linear Models (GLM) that supports a wide range of distributions and regularization techniques with a scikit-learn-like API.

A high-performance GPU-accelerated camera application for real-time raw image processing and ISP pipelines, supporting a wide range of industrial cameras.

A security-hardened ComfyUI extension that adds LLM-assisted nodes, a remote admin console, an automation HTTP API, and chat-platform connectors (Discord, Telegram, WhatsApp, etc.) so ComfyUI can be operated remotely and safely.

An agentic security auditing framework that finds vulnerabilities by deriving security properties from natural-language specifications and verifying if the code proves those invariants.

A unified local web interface for accessing hundreds of LLMs and multimodal AI models for text, image, video, and music generation.

A massive, open-source Chinese corpus project aiming to collect and provide 253TB of diverse internet text and multimodal data for training AI models.

A lightweight probabilistic programming library powered by JAX that provides fast Bayesian inference via MCMC and variational inference on GPU/TPU/CPU.

An open-source library for training and deploying machine learning models on Amazon SageMaker, supporting popular frameworks and foundation model fine-tuning.

A differentiable rendering framework that extracts triangular 3D models, materials, and lighting from multi-view images through joint optimization.

A source-to-source automatic differentiation system for Julia that enables the calculation of gradients for complex functions and machine learning models.

A self-hosted CLI agent that automates development tasks like PR reviews, bug fixing, and security patching using customizable LLM-assisted workflows.

A modular framework for Aspect-based Sentiment Analysis (ABSA) that unifies training, evaluation, and inference across various sentiment subtasks.

An AI-based debugging assistant for C/C++/Python/Rust that integrates with pdb, lldb, and gdb to perform automated root cause analysis and suggest fixes.

A comprehensive natural language processing library for the Thai language, providing tools for segmentation, tagging, transliteration, and spelling correction.

pytorch_memlab is a Python library that profiles CUDA memory usage line‑by‑line, lists live tensors, and can temporarily move GPU data to CPU. It integrates with IPython/Jupyter via `%mlrun` magics and helps debug out‑of‑memory errors in PyTorch models.

A library providing fundamental building blocks for quantum machine learning, enabling the implementation of quantum kernels, neural networks, and hybrid quantum-classical models.

The Python SDK for the Gemini Enterprise Agent Platform (formerly Vertex AI) allows developers to build, deploy, and optimize AI agents, manage prompts, and evaluate generative AI models.

A Python package providing a collection of surrogate modeling methods and sampling techniques, with a specific focus on derivatives and gradient-enhanced modeling.