🤗 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.
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Open Source Computer Vision Library
《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。
We write your reusable computer vision tools. 💜
Learn how to develop, deploy and iterate on production-grade ML applications.
Cross-platform, customizable ML solutions for live and streaming media.
💫 Industrial-strength Natural Language Processing (NLP) in Python
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Deezer source separation library including pretrained models.
deep learning for image processing including classification and object-detection etc.
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
CVPR 2026 论文和开源项目合集
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
📺 Discover the latest machine learning / AI courses on YouTube.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Oxford Deep NLP 2017 course