PaddlePaddle/Paddle
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）
This is a comprehensive platform for building and deploying machine learning models, especially deep learning. It helps data scientists and AI engineers transform raw data into trained AI models and then deploy those models into real-world applications. It supports a wide range of industrial applications, making AI solutions practical for businesses.
23,752 stars. Used by 10 other packages. Actively maintained with 198 commits in the last 30 days. Available on PyPI.
Use this if you are an AI developer or data scientist looking for a robust, industrial-grade framework to build, train, and deploy large-scale deep learning models efficiently across various hardware.
Not ideal if you are looking for a simple, lightweight library for basic data analysis or small-scale machine learning tasks without deep learning components.
Stars
23,752
Forks
5,974
Language
C++
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
198
Dependencies
9
Reverse dependents
10
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