Discover open-source AI tools.

An open source cybersecurity protocol for syncing decentralized graph data.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

🐍 Geometric Computer Vision Library for Spatial AI

Refine high-quality datasets and visual AI models

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Build, Manage and Deploy AI/ML Systems

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

Bindu: The identity, communication, and payments layer for AI agents.

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

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.