An open-source AI assistant plugin for Obsidian that enables users to generate text, summaries, and ideas directly within their knowledge base using various LLM providers.

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.

An imitation learning benchmark for whole-body control featuring diverse humanoid and quadruped environments with extensive motion capture datasets.

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.

Eynollah is a Python library and command‑line tool for deep‑learning based document layout analysis, image binarization, enhancement, OCR, and reading‑order detection. It supports 10 layout classes, offers both CNN‑RNN and Transformer OCR models, outputs PAGE‑XML, and can be installed via PyPI or Docker. Pre‑trained ONNX models enable fast inference; full TensorFlow/PyTorch checkpoints are available for fine‑tuning. The project targets high‑quality processing of historical and heterogeneous scanned documents.

A command-line tool and Python API for mining multilingual pronunciation data from Wiktionary to create grapheme-to-phoneme (G2P) datasets.

A real-time AI-powered desktop app that detects Bible verses in live audio feeds and renders them as broadcast-ready overlays via NDI.

A standardized protocol for AI systems to discover and call tools across various communication protocols like HTTP, WebSocket, and CLI.

A unified framework that combines SAM and generative inpainting models to remove, fill, or replace objects in images, videos, and 3D scenes.

A Python library for processing textual data that provides a simple API for common NLP tasks like sentiment analysis, tagging, and classification.

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

torchtune is a PyTorch‑based library that provides ready‑to‑run recipes and configs for fine‑tuning, RL‑HF, distillation, quantization‑aware training, and inference of many modern LLMs (Llama, Gemma, Qwen, Phi, etc.). It abstracts distributed training, memory‑saving tricks, and device support behind a simple CLI (`tune`) and YAML files, integrating with Hugging Face, torch‑ao, FSDP2, and logging tools. Though development stopped in 2025, it remains a practical, open‑source toolkit for LLM experimentation.

An end-to-end platform for applied reinforcement learning designed for large-scale distributed tasks and offline training without a simulator.

A collection of cross-platform code samples demonstrating how to use the Microsoft Cognitive Services Speech SDK for speech recognition, synthesis, and translation.

A Python plugin for IDA Pro that uses LLMs to explain decompiled functions and automatically rename variables to aid reverse engineering.

A pure-Go natural language processing library for English text that provides tokenization, part-of-speech tagging, and named entity recognition.

A software development kit for the nuScenes and nuImages datasets, providing tools to load, analyze, and evaluate multimodal sensor data for autonomous driving research.

A scalable framework for extracting text, tables, charts, and infographics from documents to power high-performance RAG and generative AI applications.

A production-ready Reinforcement Learning library from Meta for building modular AI agents capable of handling complex, real-world environments with sparse feedback and dynamic action spaces.

VOICEVOX Engine is an open‑source HTTP server that wraps the VOICEVOX Japanese TTS core. It lets you send text (or a detailed synthesis query) via REST endpoints and receive WAV audio, with support for streaming, user dictionaries, presets, voice morphing, singing synthesis, and optional GPU acceleration. Docker images and a mock mode make deployment easy, and the API is documented at /docs.

A browser-based monitoring dashboard for the Hermes AI agent that provides visibility into its memory, costs, and internal state.

A PyTorch implementation of the Transfusion architecture that unifies next-token prediction for text and flow matching for continuous modalities like images in a single model.

A universal workflow plugin for Claude Code and other AI agents that provides specialized agents, slash commands, and automation hooks to streamline software development.

A Python library that turns an Android device into a Reinforcement Learning environment, allowing agents to learn to navigate the OS and apps via touchscreen interactions.

Tora is a trajectory-oriented Diffusion Transformer for video generation that allows precise control of object motion using textual, visual, and trajectory-based guidance.

A versatile Bayesian Optimization package designed to efficiently find optimal hyperparameter configurations for machine learning algorithms.

A unified, self-hosted chat and search platform that provides a single interface for accessing multiple major AI providers.

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.

NNCF (Neural Network Compression Framework) is an open‑source Python library that adds post‑training and training‑time compression (quantization, weight compression, pruning, etc.) to PyTorch, TorchFX, ONNX, and OpenVINO models, enabling smaller, faster inference with minimal accuracy loss.

rviz is a 3D visualizer for the Robot Operating System (ROS) framework, allowing developers to see robot data in 3D.

An advanced Python deobfuscator that combines local LLMs with AST cleaning and pattern matching to help malware analysts and reverse engineers recover readable code.

A Python library for the LandingAI ADE API that parses PDFs and images into structured Markdown and extracts typed data using Pydantic models.

An iOS app that uses AirPods' head tracking and local AI to provide real-time posture coaching and nudges to reduce neck strain.

A framework-free, self-evolving AI agent system built in pure Python that provides 24/7 personal assistance with multi-tenant routing and a three-layer memory system.

An agent testing framework that uses simulations, user simulators, and judge agents to evaluate the behavior and robustness of AI agents in multi-turn conversations.

An enterprise AI resource management platform that helps organizations control AI costs, manage model access, and quantify AI productivity through centralized identity and budget tracking.

A framework for packaging, running, and tracking machine learning experiments across local environments, Kubernetes, and Google Cloud Platform.

Nengo is a Python library for building and simulating large-scale neural models, supporting both spiking and non-spiking simulations.

A Python implementation of TypeAgent KnowPro for building structured RAG systems, serving as an experimental prototype for structured retrieval.

An open-source inference server that provides a standardized REST and gRPC interface for serving machine learning models across various frameworks.

An open-source platform for interactive learning that provides scalable individual feedback, automatic assessment, and optional LLM-powered tutoring for universities.

Claude Forge is a plug‑in pack that turns the basic Claude Code terminal coding assistant into a production‑grade development environment. It adds 16 specialist AI agents, 35 slash‑commands, 33 saved “skills”, 22 safety hooks, 14 behavior rules and 4 external‑tool connections. Install with a one‑liner script (full install) or via Claude Code’s plugin marketplace (commands only). The pack automates planning, test‑first development, security reviews, documentation sync, and an adversarial verification loop that requires an independent agent to approve every change. Licensed MIT, actively maintained (v4.3.0, Sep 2026).

An open-source PyTorch implementation of AlphaFold 3 for predicting the 3D structures of biomolecular interactions, including proteins, nucleic acids, and ligands.

A high-performance Rust implementation of the Kokoro TTS model providing fast text-to-speech synthesis via a CLI, Rust crate, and OpenAI-compatible API server.

A multimodal AI agent framework for the Go language that enables developers to build complex AI workflows with pluggable models, tools, and memory.

A diffusion-based training framework for Text-to-Speech, Singing Voice Synthesis, and Singing Voice Conversion that supports multi-speaker training and efficient hardware utilization.

StoryMem is a multi-shot video generation framework that uses a memory-conditioned diffusion model to create long, coherent narrative videos with consistent characters.

An NPM package that brings the OpenCV computer vision library to Node.js and web browsers, enabling tasks like real-time face detection in JavaScript.