
sonnet
google-deepmind/sonnetTensorFlow-based neural network library
Every work in the library, top first
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1,407 apps, agents and plugins from GitHub, ranked on how actively they are maintained rather than on stars. Security review is in progress and every project shows exactly what has and has not been checked.
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TensorFlow-based neural network library

Best Practices, code samples, and documentation for Computer Vision.

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

🧙 Build, run, and manage data pipelines for integrating and transforming data.

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

A customisable 3D platform for agent-based AI research

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

Flower: A Friendly Federated AI Framework

Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.

An open source library for deep learning end-to-end dialog systems and chatbots.


Fit interpretable models. Explain blackbox machine learning.

Postgres with GPUs for ML/AI apps.

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.