dopawei Goto Github PK

20ace.github.io

academic-website-template

Jekyll website template for personal academic or research group web pages.

academicpage_1

Yunhe Wang's HomePage

adaafforpinns

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

al-pinns

Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks

apollo

Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization

autograd-minimize

A wrapper around scipy minimize which uses the autograd capacities of tensorflow to compute the gradient and hessian.

autoke

An automatic knowledge embedding framework for scientific machine learning

b-pinns

Pytorch implementation of Bayesian physics-informed neural networks

causalpinns

cavaie_paper_codes

https://onlinelibrary.wiley.com/doi/epdf/10.1111/mice.12812

ccnn

Code repository of the paper "Towards a General Purpose CNN for Long Range Dependencies in N-D" https://arxiv.org/abs/2206.03398.

characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

ckconv

Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/2102.02611

cpinn

Competitive Physics Informed Networks

cpino

We aim to use the Competitive Gradient Descent algorithm proposed by Schäfer et. al. with the PINO architecture proposed by Li et. al.

cs231n.github.io

Public facing notes page

cusp_capturing_pinn

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep_learning_for_dynamical_systems

deepgreen

Tensorflow 2 rewrite of NODE-Operator project

deeponet-fno

DeepONet & FNO (with practical extensions)

deepxde

A library for scientific machine learning and physics-informed learning

ednn

Source code and examples for Evolutional Deep Neural Network (EDNN)

efd

Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis

en-deeponet

Repository for sharing code and data assocaited with X-DeepONet architecture

euclid-hyperelasticity-nn

fno_inversion_ml4ps2021

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.