deep-learning

The most cited deep learning papers

A game theoretic approach to explain the output of any machine learning model.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

The fastai book, published as Jupyter Notebooks

Image-to-Image Translation in PyTorch

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

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PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Graph Neural Network Library for PyTorch

ncnn is a high-performance neural network inference framework optimized for the mobile platform

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

✅（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】

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Learn OpenCV : C++ and Python Examples

CVPR 2026 论文和开源项目合集

100-Days-Of-ML-Code中文版

Best Practices on Recommendation Systems

☁️ Build multimodal AI applications with cloud-native stack

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools