A Python package for training and predicting ecological objects, such as tree crowns and birds, in airborne RGB imagery using deep learning object detection.

A Python package implementing the double/debiased machine learning framework for estimating structural parameters with reduced bias using scikit-learn.

An LLM-based vulnerability discovery tool that finds and verifies security flaws in source code through a two-stage detection and attack process.

A unified search and AI chat platform that connects enterprise data from apps like Google Workspace, Dropbox, and GitHub into a single interface.

An MCP server that enables LLMs to manage Docker containers, images, and volumes using natural language commands.

A high-performance trainable sparse attention implementation that combines Flash Attention's memory efficiency with sparse computation for handling extremely long sequences in Transformers.

A PyTorch library for differentiable signal processing on the sphere, enabling spherical harmonic transforms and neural operators for physics-based AI.

A provider-agnostic CLI AI coding assistant that lets developers use any LLM provider, including local models and existing subscriptions, to edit codebases and automate workflows.

A PyTorch-native agentic RL library that separates infrastructure concerns from model concerns to simplify scalable reinforcement learning experimentation.

A local workbench that turns documents into an inspectable 3D knowledge graph by wrapping Microsoft GraphRAG with a visual interface for indexing and exploration.

An open-source e-commerce system based on Laravel 13 that integrates AI models and Model Context Protocol (MCP) for intelligent automation.

A lightweight, OpenAI-compatible AI SDK designed for minimal bundle size and high portability across browser, edge, and agent tooling.

SenseNova-Vision is a unified multimodal model that treats diverse computer vision tasks as a generation problem, enabling a single model to perform detection, segmentation, and geometric prediction via text and image outputs.

A tool that compiles design systems into installable Agent Plugins, allowing AI coding agents to write on-brand UI by following a specific set of design tokens and composition rules.

ObjectClear is an object removal model that jointly eliminates target objects and their associated effects, such as shadows, while preserving background consistency.

A library implementing Wavelet Convolutions to provide CNNs with large receptive fields, featuring optimized backends for CUDA, Metal, and Triton.

A framework based on Vercel's AI SDK for building general-purpose AI agents with built-in support for tool use, session management, and composable middleware.

An MCP server that enables AI models to convert documents between multiple formats using Pandoc, supporting everything from Markdown to PDF and DOCX.

A scalable and customizable Safe Reinforcement Learning benchmark library providing a standardized set of environments for evaluating safety-constrained AI agents.

Custom ComfyUI nodes that implement Microsoft's TRELLIS.2 model to generate high-quality 3D meshes with PBR materials from a single image.

An MCP server that enables AI language models to interact with YouTube by providing tools to search videos, retrieve transcripts, and analyze channel data.

A flight-proven, open software stack for developing, simulating, and deploying perception-based multi-drone autonomy using ROS2, PX4, and ArduPilot.

A local Node.js server that lets AI‑assistant clients (via MCP) run SQL queries on a personal Apple Health CSV export, using an in‑memory DuckDB database. It provides schema discovery, ad‑hoc queries, and health‑summary reports while keeping data on the user’s machine.

A cross-platform chat application and AI development framework that integrates multiple LLMs like OpenAI and DeepSeek with a unified interface.

A community-driven database for discovering, comparing, and downloading over 600 AI image and video upscaling models with detailed metadata.

A plugin ecosystem and marketplace for Dify, enabling developers to extend AI applications with custom models, tools, and agent reasoning strategies.

A Docker-based deployment for the FaceFusion face manipulation platform, allowing users to easily run the software across various hardware accelerators like CUDA and ROCm.

An AI-powered multi-agent system that helps researchers analyze reviewer comments, search for supporting literature, and draft formal academic paper rebuttals.

neurad‑studio is a research‑grade library that brings neural‑rendering (NeRF and 3‑D Gaussian splatting) to autonomous‑driving data. It supplies ready‑to‑run implementations of NeuRAD and SplatAD, parsers for major AD datasets, a viewer that can display both camera images and lidar points, and standard training/visualisation tools built on Nerfstudio.

A Three.js-based Web renderer for 3D Gaussian Splatting that enables high-performance streaming and adaptive LOD for large-scale 3D scenes.

Pixio is a vision encoder optimized for dense prediction tasks like depth estimation and semantic segmentation, achieved through enhanced pixel reconstruction pre-training.

A collection of Triton kernels for efficient low-bit matrix multiplication that accelerates LLM prefill and decoding performance.

An official Model Context Protocol (MCP) server and Agent Skills set that allows AI agents to operate 12 different freee business APIs, including accounting and HR.

A TypeScript framework for building governed, durable AI agents that separates reasoning from execution via a Production Harness and DomainPacks.

A machine learning runtime written in Rust that enables running ONNX models trained in PyTorch and other Python frameworks in Rust and WebAssembly environments.

An OpenAI-compatible text-to-speech API service and Python SDK that converts text to natural speech using the openai.fm backend.

Ekho is a Chinese text-to-speech engine that converts written text into spoken audio, supporting custom voice data integration.

A low-cost, open-source LiDAR-Inertial-Visual fusion perception kit for robotics and embodied AI, providing hardware designs and software drivers for 3D spatial awareness.

A real-time Nonlinear Model Predictive Controller (NMPC) for humanoid robots that optimizes full-order torque-level dynamics for loco-manipulation.

A ROS 2 integration of libfranka that allows for efficient control and development of Franka Robotics research arms and mobile platforms.

A high-performance, time-indexed object storage system for robotics and industrial IoT that allows querying binary data by time range and labels.

PyRoboSim is a 2D mobile robot simulator for behavior prototyping that optionally integrates with ROS 2.

A robust C implementation of the Cyphal/CAN transport layer for high-integrity real-time embedded systems in aerospace and robotics.

A real-time Visual-Inertial SLAM framework that replaces traditional handcrafted features with SuperPoint and LightGlue deep learning models to handle challenging imaging conditions.

A PyTorch-based package providing reinforcement learning implementations for continuous control tasks in the MuJoCo physics simulator.

A fast, portable C++ library for deep reinforcement learning and continuous control, optimized for everything from microcontrollers to GPUs.

A high-performance C++-based batched environment pool for reinforcement learning that significantly accelerates experience collection across various simulators.

A configurable end-to-end pipeline for cleaning, aligning, and integrating multimodal MIMIC-IV medical data (structured, text, waveforms, and images) for downstream ML tasks.