A collection of tutorials and examples for Amazon Braket, enabling users to build, test, and run quantum circuits on simulators and quantum hardware.

A collection of ready-to-use deployment examples for the Cerebrium platform, covering LLMs, voice agents, image generation, and inference optimization.

A Powerlevel10k-inspired statusline for Claude Code that displays real-time session metrics like token usage, rate limits, and costs.

A Python library for plotting visually appealing confusion matrices using seaborn and matplotlib, supporting input from either NumPy matrices or prediction vectors.

Package Manager Guard (PMG) is an open-source install-time firewall that blocks malicious npm and pip packages using threat intelligence, dependency cooldowns, and runtime sandboxing.

A benchmark for evaluating AI agents on real-world IT automation tasks across SRE, CISO, and FinOps domains using Kubernetes-based environments.

A unified test intelligence platform that aggregates test results from any CI/CD pipeline to detect flaky tests and track performance trends.

An open framework that organizes fork maintenance by providing AI agents with the internal context and validation scaffolding needed to resolve complex upstream merge conflicts.

A compiler solution for PyTorch that enables users to create, benchmark, and optimize custom operators for hardware accelerators like CUDA and ROCm.

Tetrad is a software suite for causal discovery and analysis, offering a GUI application and integrations for Python and R to identify causal relationships in data.

A Swift command-line tool that parses Xcode and SPM build output into token-efficient, structured formats for AI coding agents and LLMs.

A meta-library for community detection in complex networks that provides a standardized way to implement, evaluate, and visualize community discovery algorithms.

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

A high-performance file format and library for recording and playing back synchronized, time-stamped streams of multimodal sensor data from devices like AR/VR headsets.

An R package providing a comprehensive library of ggplot2-based plotting functions for diagnosing and visualizing Bayesian models and MCMC posterior draws.

A comprehensive Cookiecutter template for jumpstarting MLOps projects with a standardized Python package structure, integrated CI/CD, and a modern toolchain.

Umpire is a resource management library for discovering and managing memory across machines with multiple memory devices like NUMA and GPUs.

A library of standard collective communication routines for GPUs that enables high-bandwidth data synchronization across multiple GPUs and nodes.

An R package for Bayesian applied regression modeling that emulates frequentist model-fitting functions using Stan for back-end estimation.

Dynolog is a lightweight performance monitoring daemon for heterogeneous CPU-GPU systems, designed to help debug bottlenecks in large-scale AI training. It provides always-on monitoring of CPU, GPU, and kernel metrics, plus on-demand remote profiling of PyTorch workloads across many GPUs.

A high-accuracy Sega Master System, Game Gear, and SG-1000 emulator with an embedded MCP server for AI-assisted debugging and development.

An Emacs Lisp library that provides a unified interface for interacting with various LLM providers, enabling developers to build AI-powered packages that work across different models.

A scikit-learn compatible library for chemoinformatics that efficiently computes molecular fingerprints, filters, and similarity measures for ML pipelines.

A toolset for automating the build and indexing of PyTorch-based packages with custom operators, providing pre-built wheels via a PEP 503 compliant index.

A tool for intercepting and modifying OpenCL calls to enable debugging and performance analysis without requiring application or driver modifications.

A TypeScript library for tabular, geospatial, and AI-assisted data analysis that brings DuckDB's performance to a chainable JavaScript API.

A .NET API client for the Meilisearch open-source search engine, enabling C# developers to easily manage indexes and perform typo-tolerant searches.

Quepid is a tool that turns search relevance tuning into a repeatable engineering process, helping teams collaborate and test search results to improve app search quality.

A secure computation device that uses Secure Multi-Party Computation (MPC) to perform tensor operations on private data while keeping it protected.

GUDHI is a C++ and Python library for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding, focusing on simplicial complexes and persistent homology.

A linear dimensionality reduction tool that decomposes complex population activities into components tied to specific task parameters, such as stimuli or rewards.

A benchmarking suite for machine learning and optimization workflows designed to ensure reproducibility and comparability across solvers written in multiple programming languages.

A collection of sample implementations and templates for creating custom Web API enrichment skills to extend the indexing pipelines of Azure AI Search.

A lightweight Python library for parsing CoNLL-U formatted NLP data into nested dictionaries or dependency trees.

A rendering and component library focused on the annotation experience, designed to help developers quickly build data labeling applications.

An intelligent Kubernetes resource optimization tool that analyzes workload metrics to provide right-sizing recommendations for CPU, memory, and GPU resources.

A real-time Python-based anomaly detection and performance monitoring system that automatically identifies anomalies in high-resolution time series data without requiring manual threshold configuration.

A VS Code extension that enhances the dbt development experience with autocomplete, visual lineage, and automated documentation generation.

A Python library for system identification and time series forecasting using NARMAX models, offering tools for model structure selection and parameter estimation.

An open-source AI agent orchestrator that allows developers to run multiple AI coding agents in parallel across isolated git worktrees.

A .NET port of Gradio that allows developers to build web interfaces for machine learning models and APIs using only C# code, eliminating the need for JavaScript or CSS.

A Python library providing machine learning extensions for data science tasks, including ensemble methods, feature selection, and visualization utilities.

A fast, on-device NoSQL and vector database for Java and Kotlin that enables efficient object storage and local vector search for AI applications.

HeavyDB is a GPU-accelerated, SQL-based columnar database engine that enables millisecond queries on multi-billion row datasets without needing indexes or pre-aggregation.

A PyTorch utility that provides a detailed, formatted summary of model architectures, including layer shapes, parameter counts, and operation counts.

A set of Jupyter extensions that accelerate Python data analysis by providing an interactive spreadsheet that generates Python code and integrated AI assistance.

A comprehensive R package for training and plotting classification and regression models, providing a unified interface for machine learning tasks.

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.