Pinned Repositories
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's Repositories
dopawei/pytorch-fourier-feature-networks
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
dopawei/ImageBasedModalAnalysisTutorial
High speed camera (or image) based experimental modal analysis
dopawei/levenberg_marquardt
Torch Implementation of Hessian Free Second Order Optimizer (Levenberg Marquardt) for Dense Models
dopawei/MachineLearning
一些关于机器学习的学习资料与研究介绍
dopawei/neural_decomposition
Neural Decomposition Code for Time Series
dopawei/pinn_wave
Physics Informed Neural Network (PINN) for the wave equation.
dopawei/Simple-Wave-Equation-solver
An example of solving a wave equation using finite difference
dopawei/SpectralBias
Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
dopawei/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
dopawei/STIMD
dopawei/WaveProp_in_MATLAB
Single-file implementations of 2D and 3D acoustic and elastic wave propagation in time domain using finite-differences(FDTD). Simple formulation and implementation