A collection of examples and notebooks demonstrating how to use NVIDIA cuOpt, a GPU-accelerated engine for solving complex decision optimization problems like vehicle routing and linear programming.

A GPU-accelerated portfolio optimization framework that uses NVIDIA cuOpt and RAPIDS cuML to speed up scenario generation and Mean-CVaR risk modeling.

A TensorFlow-based library for quantitative finance that provides high-performance mathematical methods and pricing models with hardware acceleration.

An AI-powered low-code framework that uses a metadata-driven architecture to enable developers and AI to build maintainable, enterprise-grade intelligent applications.

An open-source framework for building AI applications that combines a visual drag-and-drop UI editor with a Python-based backend.

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 desktop app that bridges AI subscriptions like Claude, ChatGPT, and GitHub Copilot to any OpenAI-compatible coding tool via a local proxy.

An AI-powered Web Application Firewall that uses large model distillation and semantic analysis to detect 0-day attacks and malicious traffic with high accuracy and low latency.

A high-performance Python framework for network flow analysis that extracts statistical features and application metadata from live or offline traffic for machine learning.

A behavioral machine learning-based intrusion prevention system that detects malicious network traffic and command-and-control channels using ML models and threat intelligence.

A high-performance analysis engine for Oxford Nanopore reads that provides GPU-accelerated basecalling, alignment, and error correction for genomic data.

A document management system that uses OCR and full-text search to organize and access digital documents across multiple storage sources.

A real-time visualization dashboard for Optuna that allows users to monitor and analyze hyperparameter optimization studies through a web interface.

An MLIR-based compiler framework for co-designing domain-specific languages and architectures to optimize the deployment of AI models like DeepSeek R1 and Whisper.

A universal document conversion system that extracts logical structure, tables, and formatting from diverse formats like PDF, Office, and images into a unified output.

An AI-powered, cross-platform desktop SQL client that supports multiple databases and helps users write and optimize queries.

A minimal, performant library for writing GPU-like kernels that can target multiple execution backends, including NVIDIA, AMD, Intel, and Apple GPUs.

TrueCourse is a tool that turns product documentation into automated tests to ensure the software actually does what the documentation promises.

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

A software package that removes ambient RNA and barcode swapping artifacts from single-cell RNA sequencing data to improve data quality.

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.

An OpenAI-compatible API bridge that allows users to programmatically interact with models on LM Arena, featuring automated reCAPTCHA solving and vision support.

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

An open-source RISC-V AI accelerator for FPGAs and ASICs that optimizes memory bandwidth to efficiently run computer vision and LLM/VLM inference on edge devices.

A standardized schema framework for defining and managing AI agent capabilities and metadata to enable interoperability and discovery across distributed agentic systems.

A tool that creates persistent, isolated Linux workspaces using Docker or Podman to provide secure environments for software development and AI coding agents.

A framework for creating and maintaining knowledge graphs in the life sciences, simplifying the integration of diverse biological data for AI and analysis.

A lightweight cross-platform IDE designed for AI programming that integrates AI agent sessions, multi-project management, and Git workflows into one interface.

TFB is an open-source library for the fair and comprehensive benchmarking of time series forecasting methods, providing a standardized pipeline to prevent evaluation biases.

A curated marketplace of universal skills for AI coding agents, allowing developers to install a single skill and use it across multiple different agent platforms.

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

AgentKey is a genuine open‑source tool that adds one‑click, subscription‑based internet access to many LLM agents. It installs a skill and a tiny MCP client, authenticates via a browser, and then lets the agent fetch tweets, Reddit threads, YouTube transcripts, on‑chain data, stock quotes, product listings, etc., without the user handling individual API keys.

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

An intent compiler for AI agent coding that transforms human requirements into verifiable Task Contracts to ensure AI-generated code is mechanically validated.

A terminal session manager that allows AI agents to run, monitor, and interact with background dev servers and TUIs without blocking.

A fast non-linear dimension reduction library for visualizing high-dimensional data and preprocessing for machine learning tasks.

An AI-powered end-to-end testing framework that uses natural language to execute browser and API tests via Playwright and Anthropic Claude.

A community-maintained PHP API client for interacting with the OpenAI API, simplifying the integration of LLMs and other AI tools into PHP projects.

A Python package for estimating heterogeneous treatment effects from observational data by combining machine learning with econometrics for automated causal inference.

A PyTorch library for Conditional Flow Matching, providing simulation-free training for continuous normalizing flows to enable fast generative modeling of images, tabular data, and biological dynamics.

A PyTorch domain library providing sparsity and parallelism primitives for training and deploying large-scale recommender systems with massive embedding tables sharded across multiple GPUs.

A JAX-native library providing high-performance implementations of Monte Carlo tree search algorithms like AlphaZero and MuZero for reinforcement learning.

A Gaussian processes framework in Python that provides tools for implementing and optimizing probabilistic models for regression and classification.

A Rust ecosystem for developing AI applications using local or remote models, featuring a unified interface for multi-modal models and a compiler-backed inference runtime.

JVector is a graph-based approximate nearest neighbor search index that combines HNSW and DiskANN architectures to enable fast, memory-efficient vector searches over massive datasets.

A Vue.js implementation of Ant Design X, providing a UI component library and data flow tools specifically designed for building AI conversational interfaces.

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 collection of standardized experiments and benchmarks for evaluating the core capabilities of reinforcement learning agents to facilitate reproducible research.