JiangNguyen

AFNO-transformer

Adaptive FNO transformer - official Pytorch implementation

assessing-pinns-ocean-modelling

Code and datasets for paper "Assessing Weighted Physics Informed Neural Networks in Ocean Modelling"

bayesianLSTM

Bayesian LSTM (Tensorflow)

BCNN4GRACE

A Bayesian Convolutional Neural Network for reconstructing GRACE TWSA signals

CausalPINNs

cnn_lstm_era

Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modelling"

cnn_lstm_interpret

Code for the project "Interpreting deep machine learning for streamflow modelling across glacial, nival, and pluvial regimes in southwestern Canada".

data_share

deep-wetlands

Repository for the Deep Wetlands project in which we detect changes in water extension of wetlands my using multispectral and SAR images

Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-project

This research work focuses on comparing the existing approaches to explain the decisions of models

FourCastNet

Initial public release of code, data, and model weights for FourCastNet

Hybrid-Ensemble-Kalman-Filter

Codes for H-EnKF framework

HydroNODE

Code repo for publication at https://hess.copernicus.org/articles/26/5085/2022/

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

medium_posts

Neural-Network-Attribution-Benchmark-for-Regression

numerical_modeling

GEO 325M Introduction to Numerical Modeling

PINN-California-Delta

California-Delta estuary salinity estimation by PINN

PINNS-Mean-Flow-Reconstruction

PrecipitationFusion

A deep learning-based framework for multi-source precipitation fusion

Quantus

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

RBaM

An R user interface to BaM

SNO

Spectral Neural Operator

SVE-R

A coupled Saint Venant Equations (SVE)- Richards Equation solver

swain-rainfallrunoff

Semi-distributed Rainfall-Runoff model, using Graph Neural Networks to model an entire watershed with around 500 catchments

Tutorials_twd

Tutorials regarding towards data science

ufno

U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow

water_gee

This repository provides a way to extract water bodies using deep learning methods in GEE.

WNO

xPINNs

when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/10.1016/j.cma.2022.115346