A full-stack RAG framework with a visual agent orchestration canvas and webhook connectors for deploying AI agents to third-party messaging platforms.

A comprehensive Python toolkit for retrieval, re-ranking, and RAG, providing a unified interface to experiment with and deploy state-of-the-art models.

A Rust library providing a unified API to interact with multiple LLM backends, enabling multi-step chains, agentic workflows, and a standardized REST API.

A collection of LLM projects and tutorials covering RAG, agentic workflows, multimodal chatbots, and fine-tuning pipelines to move from basic to advanced AI application development.

A distributed framework for LLM agents that transforms agent programs into observable workflows with heterogeneous resource scheduling and automated model serving.

A transparent live-first benchmark harness for evaluating AI agent capabilities and performance within the OpenClaw runtime using deterministic grading.

An open-source framework for optimizing LLM agents using reinforcement learning to enhance their reasoning, tool use, and decision-making capabilities.

A cross-platform computer vision framework for tracking fiducial markers and multi-touch fingers to enable the creation of tangible user interfaces.

A library of high-quality PyTorch implementations of recent deep learning tricks and model architectures for computer vision tasks.

cuCIM is a GPU-accelerated computer vision and image processing library designed for large, multidimensional images used in biomedical, geospatial, and remote sensing applications.

A Kalman filter framework for sensor fusion, visual odometry, and SLAM that automates Jacobian computation and supports advanced filters like ESKF and MSCKF.

A structured light scanning tool that reconstructs 3D point clouds from images of objects lit by patterned light, featuring both CPU and GPU acceleration.

A CUDA-accelerated implementation of the SIFT algorithm for real-time image feature extraction.

An open-source library for Linux, macOS, and Windows that enables PC access to Sony Move Motion Controllers for 3D tracking and sensor fusion in AR/VR applications.

A tool for creating Stylized-ImageNet, a version of ImageNet that distorts textures to encourage CNNs to prioritize object shape over texture for better robustness.

A visual node-based creative coding environment for rapid prototyping of interactive 3D graphics, image/video processing, and AI-enhanced visuals on macOS.

A comprehensive framework for simplifying the development, evaluation, and application of Visual SLAM systems through unified configuration and benchmarking.

A Python SDK that enables AI agents to control desktop and mobile devices using vision-based automation instead of brittle UI selectors.

A flexible, web-based framework for collaborative image annotation that supports semi-automatic pipelines to speed up the labeling of machine learning datasets.

The official Python package for Roboflow, enabling developers to interact with models, datasets, and projects to build and deploy computer vision models programmatically.

A Python library for simplifying image acquisition in computer vision applications by providing a unified interface for GenICam-compliant devices.

Diffuman4D is a spatio-temporal diffusion model for high-fidelity 4D consistent human view synthesis, enabling free-viewpoint rendering from sparse-view videos.

A dataset management framework and CLI tool used to build, transform, and analyze AI datasets, specifically focusing on converting between various annotation formats.

Official Python bindings for Basler pylon C++ APIs, enabling Python applications to control Basler machine vision cameras and perform image processing tasks.

A WordPress plugin that integrates cloud-based and local AI services to automate content generation, image processing, and site management tasks.

A C++ implementation of YOLOv8 using TensorRT for high-performance GPU inference, supporting object detection, semantic segmentation, and pose estimation.

A high-level framework for building real-time, high-performance computer vision and video analytics pipelines on Nvidia hardware, abstracting the complexity of DeepStream.

A fast Python computer vision library implemented in C++ that provides over 100 image processing algorithms operating on NumPy arrays.

A real-time 2D-to-3D human pose estimator that converts RGB video feeds into standard BVH motion capture files for 3D animation.

ImageJ2 is a scientific imaging framework that extends the original ImageJ to support multidimensional image data and headless processing across multiple programming languages.

A local video knowledge base that indexes videos via transcription and visual analysis to enable natural language semantic search of video content.

An open-source computer vision tool that detects, tracks, and counts moving objects in video feeds to quantify real-world movement, commonly used for traffic studies.

A robust, modular C++ framework for mobile robotics providing essential tools for SLAM, navigation, mapping, and sensor integration.

A collection of low-level machine learning functions optimized for Arm Cortex-A, Neoverse, and Mali GPU architectures to provide high-performance ML inference.

A cross-platform .NET wrapper for OpenCV that brings comprehensive computer vision and image processing functionality to C# developers.

The official Python SDK for Deepgram, providing easy integration of automated speech recognition, text-to-speech, and language understanding APIs.

An open-source TypeScript SDK that allows developers and AI agents to create AI-generated videos using a declarative JSX syntax and a unified API for multiple AI providers.

A benchmarking framework for modeling and generating synthetic data, allowing users to compare performance, memory usage, and quality across different ML techniques.

A collection of generative AI microservices and cloud templates developed by the Digital Agency of Japan to help government officials deploy task-specific AI applications.

A PyTorch-based toolkit for post-hoc interpretability of sequence generation models, providing various feature attribution methods to explain model outputs.

An autonomous software development agent app powered by Amazon Bedrock that can create files, execute commands, and manage projects through a customizable agent interface.

An AI-powered tool that analyzes Infrastructure as Code (IaC) and architecture diagrams against AWS Well-Architected best practices to provide prioritized remediation suggestions.

An open-source SDK for building and deploying AI agents as modular, scalable services with built-in HTTP servers and dynamic agent-to-agent communication.

A Google Cloud-based solution that automates marketing content generation, trend analysis, and data querying using Vertex AI and Google Workspace integration.

A generative AI utilization platform developed by the Digital Agency of Japan that allows government officials to quickly and safely deploy specialized AI applications.

XCube is a generative model for high-resolution sparse 3D voxel grids that uses hierarchical latent diffusion and VDB data structures to create detailed 3D objects and large-scale scenes.

A framework for Energy-Based Transformers (EBTs) that enables scalable reasoning and System 2 Thinking across text, image, and video modalities.

Liquid is a unified autoregressive multimodal generator that integrates visual comprehension and image generation into a single LLM without needing external visual embeddings.