DynaSaur is an AI agent framework that writes and reuses Python code as actions to solve tasks, adapting dynamically when predefined tools are insufficient.

A PyTorch library for Relational Table Learning (RTL) that standardizes and combines GNNs, LLMs, and TNNs to analyze data across linked tables.

GolemBot is a Node.js runtime that gives existing coding agents (Cursor, Claude Code, OpenCode, Codex) a chat‑bot body. With a single `golembot gateway` command you can expose the agent on Slack, Telegram, Discord, Feishu, DingTalk, WeCom, WeChat, or a custom HTTP API, and swap LLM providers (OpenRouter, MiniMax, DeepSeek, etc.) via a tiny YAML config. It integrates the ClawHub marketplace (13 k+ community skills) so agents can gain new abilities instantly. Features include a built‑in dashboard, cron scheduler, fleet management, and a minimal JavaScript SDK (`createAssistant`). Install with `npm i -g golembot`, run `golembot onboard` to configure, then `golembot gateway` to go live. MIT‑licensed.

SAGA is a framework for segmenting 3D Gaussian Splatting scenes, allowing users to isolate 3D objects using interactive point prompts or open-vocabulary text queries.

A ComfyUI extension that prevents image artifacts and over-saturation by automatically rescaling CFG and provides tools to accelerate generation speed.

Caer is a Python‑only, GPU‑accelerated computer‑vision library that offers fast image/video utilities (resize, colour conversion, augmentations, etc.) with a clean, type‑checked API. It can replace OpenCV for research prototypes, is installable via `pip`, and is MIT‑licensed.

An open-source platform that provides a unified API and toolkit for using state-of-the-art generative AI models to accelerate hypothesis generation in scientific discovery.

RealGen is a text-to-image generator that uses AI detectors as reward signals during reinforcement learning to produce highly photorealistic images with fewer artifacts.

An Elixir framework designed to help developers build data-aware and agentic applications by chaining LLMs with external tools, data, and services.

A framework for writing differentiable logic programs in Python, enabling the creation of expressive relational learning models that extend beyond standard Graph Neural Networks.

A high-quality C++ header-only library providing a wide range of non-linear numerical optimizers, including gradient-based and gradient-free methods.

ArkFlow is a Rust‑based, high‑performance stream‑processing engine that supports many data sources (Kafka, MQTT, HTTP, files, SQL, etc.), offers built‑in processors (SQL, JSON↔Arrow, Protobuf, Python UDFs, VRL), provides durable delivery guarantees, and can run machine‑learning models on live streams. It is configurable via YAML, extensible through plugins, and includes an optional web‑based control plane.

A cross-platform desktop application for running local text and image generation on your own hardware, featuring integrated model searching and support for various GPU accelerators.

A framework for evaluating the security of Text-to-Image models by using multi-modal adversarial attacks to bypass prompt filters and safety checkers to generate NSFW content.

An agentic system optimization framework that uses coding agents to automate parameter tuning by reasoning over the semantic meaning of parameters and trial history.

NVIDIA Merlin is an open-source library suite that accelerates the end-to-end creation of large-scale recommender systems using GPU acceleration for feature engineering, training, and inference.

A Java machine learning library that provides a unified interface for classification, regression, clustering, and anomaly detection, featuring built-in model provenance and ONNX export.

A lightweight Bash-based command-line interface for LLMs that allows users to query models, chat interactively, and provide terminal context via pipes and recording.

A visualization tool for PyTorch neural network architectures that generates flow, graph, and LeNet-style diagrams and animated reveals.

A multi-LLM consensus framework for automated cell type annotation in single-cell RNA sequencing data, reducing errors by combining predictions from multiple large language models.

A research initiative focused on fundamental technologies to improve LLM prompting, inference speed, and context handling for building AI products.

A Windows-based tool for creating a vector database from documents, images, and audio files to enable Retrieval Augmented Generation (RAG) with various LLMs.

A Python package that provides high-level interfaces for materials science machine learning, enabling the conversion of materials data into features for property prediction and energy surface modeling.

A terminal-native AI coding agent optimized for DeepSeek V4 that uses advanced cache engineering to provide high-capability software engineering at a fraction of the cost of competitors.

A minimalist framework for benchmarking speech-to-text engines across various datasets to compare accuracy, latency, and computational efficiency.

An AI-powered app that enhances and tailors résumés using LLMs and renders them into professional PDFs via LaTeX.

An AutoML package for Python that uses genetic algorithms to automatically find the best models and preprocessing for high-accuracy, large-scale time series forecasting.

A Python library providing easy-to-use implementations of various multi-object tracking algorithms and OpenCV-based object detectors for video analysis.

An AI-powered computer automation tool that uses LLMs to self-drive a PC by simulating keyboard and mouse inputs based on visual feedback.

A unified Python interface for hyperparameter tuning and black-box optimization that separates optimization problems from algorithms across multiple backends.

NagaAgent is a cross‑platform desktop AI assistant (Windows/macOS/Linux) that offers chat with any OpenAI‑compatible LLM, custom tool‑calling via JSON blocks, graph‑RAG memory stored in Neo4j, a Live2D animated avatar, voice synthesis/recognition with lip‑sync, a plug‑in MCP framework for weather, web search, game guides, etc., and community features like a forum and skill marketplace. It ships as an Electron/Vue front‑end plus Python FastAPI back‑end, is installable via `uv sync` (or pip), and is dual‑licensed (AGPL‑3.0 + proprietary).

Fulling is a foundation for building dedicated AI workspaces that combine runtime, memory, and skills within a secure Kubernetes-based credential boundary.

An enterprise-grade user frontend for the RuoYi-AI platform, enabling AI conversations, agent interactions, and knowledge-base Q&A.

An AI note-taking assistant for Joplin that enables chatting with your notes, semantic search, and automated literature reviews using online or offline LLMs.

Zypher Agent is a framework for building production-ready AI agents that use reactive reasoning loops to dynamically execute tasks within applications.

A unified multimodal model series for image editing, generation, and understanding, featuring high-speed multi-image editing and autoregressive modeling.

A machine learning library for unsupervised time series anomaly detection that provides verified ML pipelines to identify rare patterns in signals.

An AI DevOps framework that provides a structured operating system for autonomous project delivery, combining specialist agents, secure Git workflows, and durable repository knowledge.

A lightweight, CPU-based Python library for re-ranking search results using state-of-the-art cross-encoders and LLMs to improve retrieval precision for LLM pipelines.

A Postgres server and extension that automates text-to-embedding transformation and orchestration for vector, full-text, and hybrid search to enable RAG.

BlockRun MCP is an open‑source MCP server that gives AI agents (Claude, Codex, etc.) 19 real‑time tools—market data, web search, media generation, on‑chain queries, and the ability to place real USDC bets on Polymarket. Agents pay per call either with a self‑custody USDC wallet (via the x402 micropayment protocol) or with a prepaid API key. The server is installed via a single `npx` command, works with many MCP‑compatible clients, and supports human‑in‑the‑loop spend approval, making it a practical bridge for autonomous agents to access live data and execute real actions.

A framework for fine-tuning image-conditional diffusion models into single-step deterministic estimators for fast and accurate depth and surface normal estimation.

A demonstration project showing how to integrate Google's Gemini AI with the Stream Chat SDK to build an AI-powered chat application on Android.

A Python package for drawing labeled bounding boxes on images, supporting VOC, COCO, and YOLO formats to simplify object detection visualization.

PIX is a JAX‑based image‑processing library that provides GPU/TPU‑accelerated functions (e.g., flips, resize) which can be compiled with `jax.jit`, vectorised with `jax.vmap`, or run on multiple devices with `jax.pmap`. Install JAX first, then `pip install dm-pix`. Use it just like NumPy image code, but with full JAX performance and automatic differentiation.

An open-source AI-driven after-sales service platform that provides intelligent customer service and Q&A communities to reduce manual support costs.

An AI agent orchestration platform that implements a ReAct loop for autonomous task execution, featuring deep browser automation with vision support and multi-agent delegation.

A collection of machine learning examples and tutorials for deploying and optimizing AI models on Arm Ethos NPUs and Cortex-based platforms.