A Python package for Functional Data Analysis (FDA) that provides tools for the representation, preprocessing, and statistical analysis of data depending on a continuous parameter.

Anserini is a toolkit built on Apache Lucene designed to make information retrieval research reproducible and bridge the gap between academic baselines and real-world search applications.

A JupyterLab extension that provides real-time GPU usage dashboards and one-click GPU acceleration for pandas and scikit-learn.

CodaLab is an open-source web platform for organizing and operate scientific challenges and competitions in machine learning and advanced computation research.

A comprehensive framework for creating and analyzing large-scale hyper-relational knowledge graphs using a scalable, disk-based TSV format.

A performant, portable execution engine and serialization format for deploying machine learning pipelines from Spark and Scikit-learn without their heavy dependencies.

A Backend-as-a-Service infrastructure that provides AI-native backend capabilities, allowing developers to build full-stack AI applications without writing backend code.

A distributed programming framework for PyTorch that uses scalable actor messaging, supervision trees for fault tolerance, and RDMA for high-performance memory transfers.

A polyhedral-based compiler for data-parallel computations that optimizes algorithms for CPUs, GPUs, FPGAs, and distributed systems, specifically for deep learning and tensor algebra.

A local GUI for managing OpenCode configurations, allowing users to toggle MCP servers, edit skills, and manage agents without editing JSON files.

A complete computer where every layer, from the ALU and OS to the compiler, is implemented as a trained neural network or GPU kernel, enabling differentiable program synthesis.

A container-based computing cluster platform that orchestrates ML frameworks and provides multi-tenant access to heterogeneous hardware accelerators like GPUs and NPUs.

A plugin manager and skills installer that provides a centralized registry and CLI tools to discover and install capabilities for AI coding agents like Claude Code and Cursor.

A benchmark tool for evaluating the performance bounds of GPUs and CPUs by testing mixed operational intensity kernels across various precision levels.

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

Nyno is a backend-as-code framework that allows developers to build and deploy AI workflows using a simple configuration language instead of writing complex backend code.

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

A persistent, embedded graph database for Python that uses a fluent API for queries and supports SIMD-optimized vector similarity search.

A lightweight Gaussian Process library built on JAX that supports GPU acceleration and automatic differentiation.

PyReason is an explainable graphical inference tool that uses logical rules and facts to reason over graph structures using temporal and real-valued logic.

A client that connects AI servers to Model Context Protocol (MCP) servers, enabling AI agents to access external tools and data sources.

A Kubernetes-native API for managing groups of Jobs as a single unit, specifically designed to simplify the deployment of distributed AI/ML training and HPC workloads.

A Python library for parallel active learning of mathematical functions that intelligently selects the best points to sample in a parameter space to reduce computational cost.

An open-source Python toolkit and MCP server for reproducible product analytics on clickstream and event log data, enabling deep behavioral analysis of user journeys.

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

A comprehensive local web development environment manager for macOS and Windows that bundles web servers, databases, and local AI capabilities via Ollama.

A JavaScript neural network library for Node.js and the browser that allows the creation and training of flexible, architecture-free neural networks.

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.

An open-source library for training and deploying machine learning models on Amazon SageMaker, supporting popular frameworks and foundation model fine-tuning.

A collection of PyTorch optimizers that eliminate the need for learning rate schedules and predefined stopping times, enabling faster and more flexible model training.

A toolkit for causal reasoning and "what-if" analysis using Bayesian Networks to identify causal relationships and estimate the impact of interventions.

A TensorFlow-based library for relational learning that predicts missing links and generates embeddings for concepts within knowledge graphs.

A lightweight core library providing essential shared functionality and utilities for computer vision frameworks developed by FAIR.

A deep learning framework that accelerates distributed DNN training by automatically searching for the most efficient parallelization strategies.

A C++20 library for numerical computing that brings NumPy-like tensor expressions to NVIDIA GPUs and CPUs, featuring JIT kernel fusion for maximum performance.

A Python SDK for Milvus, providing a programmatic interface to manage and search high-dimensional vector embeddings in the Milvus vector database.

A Python package that provides live training loss and metric plots directly in Jupyter Notebooks for Keras, PyTorch, and other deep learning frameworks.

A comprehensive scientific computing system for OCaml that provides n-dimensional arrays, linear algebra, and deep learning capabilities for high-performance analytical code.

A collection of pre-built, security-patched Docker images for running AI/ML workloads on AWS, providing optimized environments for frameworks like PyTorch, TensorFlow, and vLLM.

Manaflow is an open-source orchestrator that lets you run multiple AI coding agents in parallel across isolated VS Code workspaces with integrated live previews and PR tools.

An object-oriented machine learning framework for R that provides efficient, standardized building blocks for tasks, learners, and resampling.

Apache SystemDS is an open-source machine learning system that manages the end-to-end data science lifecycle from data preparation to model serving using a high-level language.

A cross-platform multimedia processing framework by ByteDance that enables high-performance video transcoding, editing, and AI inference with strong GPU acceleration.

The backend API for the Hugging Face dataset viewer, allowing users to browse, filter, and inspect datasets on the Hub through pre-computed data.

A neural network compiler for AI accelerators that optimizes and deploys models from TFLite, Caffe, and ONNX formats onto specialized hardware like the K210, K510, and K230.

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

A Julia library for symbolic regression that searches for human-readable mathematical expressions to fit datasets, optimizing the trade-off between accuracy and complexity.

A high-performance, cross-platform inference engine for running LLMs and VLMs locally on desktop, mobile, and edge devices.