PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.【安全加固,暂停交互,请耐心等待】
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Updated
Sep 3, 2024 - Python
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.【安全加固,暂停交互,请耐心等待】
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
Code for training and inferring acoustic wave propagation in 3D
An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
Nonlinear model reduction for operator learning
Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces"
Hyperbolic Learning Rate Scheduler
CODES (Coupled ODE Surrogates) aims to make surrogates for coupled ODE systems comparable and to aid in learning about their learning behaviour.
Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features''
RenONet: Multiscale operator learning for complex social systems
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