dopawei

20Ace.github.io

DG-PINNs

Data-guided physics-informed neural networks

EFD

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

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

Locally-Adaptive-Activation-Functions-Neural-Networks-

Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks.

PeRCNN_New

Encoding physics to learn reaction-diffusion processes

PhyCRNet

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

piDMD

MATLAB codes for physics-informed dynamic mode decomposition (piDMD)

PINN_Wave_NTK

2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch

pytorch-fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

dopawei/PINN_Wave_NTK

2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch

dopawei/20Ace.github.io

dopawei/AcademicPage_1

Yunhe Wang's HomePage

dopawei/AutoKE

An automatic knowledge embedding framework for scientific machine learning

dopawei/ccnn

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

dopawei/CPINO

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

dopawei/cs231n.github.io

Public facing notes page

dopawei/EUCLID-hyperelasticity-NN

dopawei/Geo-FNO

Geometry-Aware Fourier Neural Operator (Geo-FNO)

dopawei/Learning-PINNs-DeepONets-Torch

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

dopawei/machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

dopawei/maths_book

Planning for an entire maths LaTeX book

dopawei/PararealML

A machine learning boosted parallel-in-time differential equation solver framework.

dopawei/PECANN

PECANNs: Physics and Equality Constrained Artificial Neural Networks

dopawei/phycnn_recon

Physics-informed CNN for response reconstruction

dopawei/Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

dopawei/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

dopawei/pigans-material-ID

dopawei/PINN_scratch

dopawei/PINNs-TF2.4.0

Contains implementation of PINN using Tensorflow 2.4.0

dopawei/PINNs_Benchmark_Wave2D

Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to benchmark the performance of PINNs across various hardware architectures.

dopawei/PyITD

Intrinsic Time-Scale Decomposition

dopawei/pytorch-minimize

Use scipy.optimize.minimize as a PyTorch Optimizer.

dopawei/riemann_book

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.

dopawei/SNO

Spectral Neural Operator

dopawei/spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

dopawei/SRCNN-PyTorch

Pytorch framework can easily implement srcnn algorithm with excellent performance

dopawei/TextLogoLayout

[CVPR 2022] Aesthetic Text Logo Synthesis via Content-aware Layout Inferring

dopawei/tf-levenberg-marquardt

Tensorflow implementation of Levenberg-Marquardt training algorithm

dopawei/torch-trust-ncg

Implementation of a Trust Region Newton Conjugate Gradient optimizer in Pytorch