reyhashemi Goto Github PK

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.)

coding-interview-university

A complete computer science study plan to become a software engineer.

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.

cs231n.github.io

Public facing notes page

dataassi-transport

deep2pde_berg_nystrom

deepgalerkinmethod

Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, D. Naiff, G. Jardim and Y. Saporito (https://arxiv.org/abs/1811.08782)

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deeplearningswe

1D SWE

deepritz

Implementation of the Deep Ritz method and the Deep Galerkin method

deepxde

A library for scientific machine learning

dgm

Solving High Dimensional Partial Differential Equations with Deep Neural Networks

e2cnn

E(2)-Equivariant CNNs Library for Pytorch

equivariant-net

fbsnns

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

finn

The public repository about our joint FINN research project

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

free-programming-books

:books: Freely available programming books

gcloud

Google Cloud tutorial and setup

gpinn

gPINN: Gradient-enhanced physics-informed neural networks

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

gr4j_amacd31

GR4J rainfall runoff model implemented in Python

gr_ml

GR applications of machine learning -- publications list

gradientpathologiespinns

gradvis

loss landscape visualization

hpinn

hPINN: Physics-informed neural networks with hard constraints

labelfree-dnn-surrogate

Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning