Pinned Repositories
Applied-Deep-Learning
Applied Deep Learning Course
assessing-pinns-ocean-modelling
Code and datasets for paper "Assessing Weighted Physics Informed Neural Networks in Ocean Modelling"
Attention-Visualization
Visualization for simple attention and Google's multi-head attention.
bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Conservative_PINNs
We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.
DGM
Solving High Dimensional Partial Differential Equations with Deep Neural Networks
phygeonet
PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain
qres
Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
TorchSWE
A GPU shallow-water equation (SWE) solver using PyTorch
wpinns
reyhashemi's Repositories
reyhashemi/Conservative_PINNs
We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.
reyhashemi/wpinns
reyhashemi/Applied-Deep-Learning
Applied Deep Learning Course
reyhashemi/assessing-pinns-ocean-modelling
Code and datasets for paper "Assessing Weighted Physics Informed Neural Networks in Ocean Modelling"
reyhashemi/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
reyhashemi/coding-interview-university
A complete computer science study plan to become a software engineer.
reyhashemi/cs231n.github.io
Public facing notes page
reyhashemi/DeepLearningSWE
1D SWE
reyhashemi/deepxde
A library for scientific machine learning
reyhashemi/e2cnn
E(2)-Equivariant CNNs Library for Pytorch
reyhashemi/fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
reyhashemi/free-programming-books
:books: Freely available programming books
reyhashemi/gpinn
gPINN: Gradient-enhanced physics-informed neural networks
reyhashemi/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
reyhashemi/GR4J_amacd31
GR4J rainfall runoff model implemented in Python
reyhashemi/LabelFree-DNN-Surrogate
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
reyhashemi/LPINNs
a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions
reyhashemi/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
reyhashemi/PeRCNN
Physics-encoded recurrent convolutional neural network
reyhashemi/PhyCRNet
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
reyhashemi/PINN-elastodynamics
physics-informed neural network for elastodynamics problem
reyhashemi/PINNs-1
PyTorch Implementation of Physics-informed Neural Networks
reyhashemi/ReosProject
Free and open-source tools for hydrological and hydraulic analysis.
reyhashemi/seepagePINN
Physics informed neural network for learning seepage flow models
reyhashemi/ST_DeepLearning_alezavala97
This work was carried out using the methodology from the following research with real data from Chile: https://github.com/federhub/ST_DeepLearning"
reyhashemi/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
reyhashemi/Time2Vec-PyTorch
Reproducing the paper: "Time2Vec: Learning a Vector Representation of Time" - https://arxiv.org/pdf/1907.05321.pdf
reyhashemi/transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
reyhashemi/vision
Datasets, Transforms and Models specific to Computer Vision
reyhashemi/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)