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An Open Source Machine Learning Framework for Everyone

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Tensors and Dynamic neural networks in Python with strong GPU acceleration

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

List of Computer Science courses with video lectures.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

The fastest path to AI-powered full stack observability, even for lean teams.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Tesseract Open Source OCR Engine (main repository)

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

Open Data Platform for analysts, quants and AI agents.

12 Weeks, 24 Lessons, AI for All!

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

scikit-learn: machine learning in Python

Deep Learning for humans

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

Deepfakes Software For All

The world's simplest facial recognition api for Python and the command line

100 Days of ML Coding

Learn it. Build it. Ship it for others.

We write your reusable computer vision tools. 💜

Learn how to develop, deploy and iterate on production-grade ML applications.

The Julia Programming Language

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Streamlit — A faster way to build and share data apps.

A community-supported supercharged document management system: scan, index and archive all your documents

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

AI-Powered Photos App 🌈💎✨

Google Research

吴恩达老师的机器学习课程个人笔记

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Cross-platform, customizable ML solutions for live and streaming media.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Vane is an AI-powered answering engine.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Caffe: a fast open framework for deep learning.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

💫 Industrial-strength Natural Language Processing (NLP) in Python

Visualizer for neural network, deep learning and machine learning models

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.