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)
Build and train machine learning models efficiently with a comprehensive framework designed for industrial use.
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Paddle has 24k stars on GitHub. It has been forked 6k times. Paddle is written mainly in C++. It has been in active development since 2016. Paddle is available under the Apache-2.0 license. Its main topics are deep-learning, distributed-training, efficiency, machine-learning.
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)
Paddle is an open-source project. It is released under the Apache-2.0 license.
Yes. Paddle is free and open source — you can use, modify and self-host it.
Paddle is available under the Apache-2.0 license.
Paddle is written mainly in C++.
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