Blue-Giant

FMPINN

Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neural networks(dubbed FMPINN), the solver of FMPINN is configured as a multi-scale deep neural networks.

PIELM_Numpy

Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem

MscaleDNN_torch

Multi-scale DNN for solving elliptic multi-scale PDEs by shifting the input data in narrow- range into large-range, then fed the transformed data into the DNN pipline

MscaleDNN_tf1

Multi-scale DNN for solving elliptic multi-scale PDEs by shifting the input data in narrow-range into large-range, then fed the transformed data into the DNN pipline

MscaleDNN_tf1Class

Paper_List

ana_cont-GreenFunc-

Package for analytic continuation of many-body Green's functions

AVENN

BERT-pytorch

Google AI 2018 BERT pytorch implementation

Deep-Learning2image-processing

deep learning for image processing including classification and object-detection etc.

DNN2Convid

FNO

Fourier_neural_operator

fourier-neural-operator

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

Fourier_NN_CSD3

Experiments with FNO and its variants over MHD and Navier-Stokes Modelling

GF-Net-LearningGreen-

Code for paper "Learning Green's Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver"

GUI2ZSY

kccGreenFunc

Periodic coupled-cluster Green's function for realistic solids

MagiOPT

A Unified Pytorch Optimizer for Numerical Optimization

MultiscaleBPINN

Multiscale Bayesian PINN to identify a class of PDE with multiple scale information from sparse observations

Navier_Stokes_conertube2D

Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation

NeuralOperators.jl

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

NormalizedPINN

ORB_SLAM3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

SFHCPINN

Solving a class of advection-diffusion equations with smooth or multiple scales components by combining Fourier-based subnet physics informed neural networks and hard boundary technique

SpaceTimeDNN

SubspaceDNN_tf1Class

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

WAN2PDE

Deep learning course project