A cross-platform C++/Python development toolkit for connecting to, configuring, and visualizing data from Ouster Lidar sensors.

A header-only C++ template library providing custom arithmetic plug-in types to optimize AI and HPC algorithms through mixed-precision and alternative number formats.

A modular library of statistical algorithms that implement differential privacy to enable the privacy-preserving computation of data insights.

A cross-platform, modular terminal and browser designed to centralize the installation, configuration, and management of local AI interfaces and WebUIs.

A fast, parallelized sparse matrix multiplication library that integrates top-n result selection to reduce memory usage and improve performance when matching large feature vectors.

A POSIX-compatible generative shell that integrates AI agents directly into the command line for natural language command generation and agentic scripting.

An Ansible-based framework for automating the setup and benchmarking of distributed AI clusters using tools like llama.cpp and distributed-llama.

A browser extension that integrates AI chat capabilities directly into the web browsing experience, supporting multiple LLM APIs and site-specific integrations.

A Python implementation of the CMA-ES algorithm for derivative-free numerical optimization of difficult, non-convex, and noisy problems in continuous and mixed-integer spaces.

A high-performance data version control system for large datasets that provides a Git-like interface for versioning machine learning training data and model weights.

A collection of 80+ production-ready Python examples for building autonomous AI agents and multi-agent systems using uAgents, ASI:One, and various LLM frameworks.

A repository of extra data and resources that supplement the core OpenCV computer vision library.

A research framework for developing and benchmarking deep graph matching algorithms to find node-to-node correspondences between graphs.

A collection of optimized blueprints for deploying and scaling data platforms—including Spark, Flink, and Kafka—on Amazon EKS.

A package manager for AI agent skills that allows teams to install, version, and sync skills from Git repositories across multiple AI tools.

A self-hosted web UI for the Qdrant Vector Search Engine that allows users to easily view and manage their vector collections.

An Emacs plugin that integrates GitHub Copilot Chat, providing a chat interface and AI-powered code assistance tools directly in the editor.

A collection of proof-of-concept samples demonstrating various Generative AI use cases using Amazon Bedrock, featuring Streamlit frontends for rapid prototyping.

ReceiptHero is an open-source receipt management app that uses AI-powered OCR to automatically extract and categorize expense data from uploaded receipt images.

A collection of quantitative finance and statistical prediction tools focusing on online time series analysis, covariance estimation, and portfolio optimization.

A GPU-accelerated library for lattice QCD calculations, providing optimized Dirac operators and solvers for various fermion actions on NVIDIA hardware.

simglucose is a Python implementation of the FDA‑approved UVa/Padova Type‑1 Diabetes simulator, packaged as a Gym‑compatible environment for reinforcement‑learning research. It offers 30 virtual patients, customizable reward functions, parallel execution, scenario generators, and built‑in visualisation, letting users test any insulin‑delivery controller (PID, MPC, RL, etc.) in a safe, reproducible setting.

LocAgent is a graph-guided LLM agent framework that identifies the precise location of bugs or required changes in a codebase by representing code as a directed heterogeneous graph.

A centralized hub for AI coding agents that simplifies launching, API profile management, and session continuity across desktop, CLI, and messaging apps.

A Docker-based starter stack for building GenAI applications, featuring integrated LLMs and Neo4j for RAG and knowledge graph capabilities.

A Python framework that transforms deep neural networks into optimized CUDA/HIP C++ code for high-performance inference serving on NVIDIA and AMD GPUs.

A state-of-the-art NLP library built on Apache Spark that provides scalable, production-ready NLP annotations and pre-trained models for text, image, and speech across 200+ languages.

A PyTorch-inspired framework for building multi-agent AI applications with support for synchronous and asynchronous workflows and integrated tool execution.

Kimi K2.5 is an open-source, native multimodal agentic model with a 1T parameter MoE architecture that integrates vision and language understanding for complex task execution.

A PyTorch implementation of AlphaFold 3 for predicting the 3D structures of biomolecular interactions, including comprehensive tools for PDB dataset curation.

An open-source machine learning database that provides a feature platform to ensure consistent, low-latency features for both ML training and online inference.

A PyTorch Lightning-powered library of self-supervised methods for unsupervised visual representation learning, providing a unified environment to train and compare SOTA visual models.

An AI writing companion for Obsidian that enables chatting with AI directly in notes and referencing other vault notes via wiki links.

A privacy-preserving machine learning library that uses fully homomorphic encryption (FHE) to enable inference and training on encrypted data using scikit-learn-like APIs.

A Python library for offline reinforcement learning that provides a standardized way to load, create, and manage experience datasets.

An open-source agentic framework for building research agents using Schema-Guided Reasoning to combine structured reasoning with flexible tool selection.

A collection of standardized agent skills that teach AI coding agents how to use the Synalinks framework idiomatically, preventing syntax errors and hallucinations.

A collection of Google Colab notebooks for preparing datasets and training Stable Diffusion LoRA models, including support for SDXL.

A standardized evaluation framework for CLIP-like models to measure performance on zero-shot classification, retrieval, captioning, and linear probing across diverse datasets.

A private, in-browser AI chat interface that uses WebGPU to run LLMs locally on your hardware for offline use and data privacy.

A runtime security platform for AI applications that detects prompt injection, manages token budgets, and blocks bots and sensitive data leaks.

A Laravel package that automatically transforms Eloquent models into both JSON:API endpoints and MCP servers for AI agents from a single codebase.

An efficient PyTorch library for differentiable optimization that supports explicit, implicit, and zero-order differentiation for bi-level optimization and meta-learning.

bnlearn is a Python library for learning, parameterising, and querying Bayesian networks. It supports structure discovery (various scores and search methods), CPT estimation, causal inference (do‑calculus), synthetic data generation, and visualisation, all wrapped in a simple API.

A W3C specification for the Web Neural Network API, providing a standardized way for web applications to access hardware acceleration for machine learning models.

A content-based movie recommendation system that uses TF-IDF and cosine similarity to suggest movies with similar plot summaries.

An open-source audio and video transcription tool that generates automatic drafts using AI and supports collaborative manual editing.

An open-source, self-hosted alternative to ChatGPT that lets you use multiple AI providers via your own API keys to avoid monthly subscriptions.