nishr

SE3HamDL

Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control

AFNO-transformer

Adaptive FNO transformer - official Pytorch implementation

cond_rnn

Conditional RNNs for Tensorflow / Keras.

covid19_ultrasound

Open source lung ultrasound (LUS) data collection initiative for COVID-19.

EchoDemo

General-purpose data analysis and data management software

GBRT-for-TSF

grav3d

Online manual for GRAV3D inversion package

GTS

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

lstm-data-assimilation

Machine-Learning

Material Associated with the lecture Machine Learning in Geophysics

mc-lstm

Experiments with Mass Conserving LSTMs

meliad

MTGNN

MTGODE

The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".

neuralhydrology

Python library to train neural networks with a strong focus on hydrological applications.

NNPhD-github

Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)

PhaseNet

PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method

PhyLSTM

We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

RivGraph

Tools for working with river (and delta) channel network masks

rtm

A Python package for locating infrasound sources using reverse time migration

seiscomp

The build environment for all SeisComP repositories. Includes the documentation.

seislib

Seismic imaging at local, regional, and global scale

simpeg

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

StemGNN

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

TSAT

Transformer based model for time series prediction

us-streamflow

Code used for the models and analysis in "Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States" [doi to be inserted]

XGraphBoost