smao-astro Goto Github PK

ar-pde-cnn

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

deeponet-jax-bench

Benchmarking DeepONet with JAX

deeponet_config

deepviv

Deep Learning of Vortex Induced Vibrations

deepxde

Deep learning library for solving differential equations

deepxde-zcs

Contains ZCS integrated version of the DeepXDE

fargo_utils

fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

genshin-lyre-auto-play

根据midi文件演奏“风物之诗琴”的脚本

hfm

Hidden Fluid Mechanics

jax-cfd

Computational Fluid Dynamics in JAX

lihang-code

《统计学习方法》的代码实现

multiscalepinns

paraviewdataextraction

series of tools for working with paraview data in numpy arrays

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pinns-tf2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

plot_fargo

a Python3 class for the visualization of FARGO3D output

ppdonet

seml

SEML: Slurm Experiment Management Library

tsonn

uqpinns-tf2.0

TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks (UQPINNs).

zerocoordinateshift

Whetted Automatic Differentiation for Physics-informed Operator Learning