An Open Source Machine Learning Framework for Everyone
Repository Index
47,133 repositories indexed
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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
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
List of Computer Science courses with video lectures.
《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。
The fastest path to AI-powered full stack observability, even for lean teams.
Tesseract Open Source OCR Engine (main repository)
Learn AI Engineering! Learn it. Build it. Ship it for others.
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!
scikit-learn: machine learning in Python
🧑🏫 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, ... 🧠
Deep Learning for humans
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Deepfakes Software For All
The world's simplest facial recognition api for Python and the command line
100 Days of ML Coding
We write your reusable computer vision tools. 💜
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.