Paddle and PaddleScience
PaddleScience is a specialized domain library built on top of PaddlePaddle's core framework, making them complements designed to be used together for scientific computing applications.
About Paddle
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.
About PaddleScience
PaddlePaddle/PaddleScience
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
This project helps scientists, engineers, and researchers simulate complex physical, chemical, and meteorological phenomena using AI. It takes descriptions of physical laws, experimental data, or a combination of both to predict system behavior, fluid dynamics, material properties, and more. Users can leverage this to explore 'what-if' scenarios, optimize designs, or accelerate research in areas like fluid dynamics, materials science, and atmospheric modeling.
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