nishr

SE3HamDL

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

aipoincare

Counting the number of conservation laws from trajectory data

constrained-hamiltonian-neural-networks

covid19_ultrasound

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

DeepLearningMOR

Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechanics and Engineering (CMAME).

deeponet

Learning nonlinear operators via DeepONet

DigitalTwin_Tutorial

Digital twin for structural dynamics applications

EchoDemo

General-purpose data analysis and data management software

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

GP-NODEs

graph-pde

Using graph network to solve PDEs

GTS

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

Hamiltonian-Generative-Networks

Re-implementation of Hamiltonian Generative Networks paper

HypoSVI

Hypocentral earthquake location using Stein-variational gradient descent and deep neural network travel-time formulations

LieConv

lstm_for_pub

Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"

mc-lstm

Experiments with Mass Conserving LSTMs

mts-lstm

Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network

NNPhD-github

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

OpenChem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

particleman

Particle motion analysis of seismic surface waves

Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Py-RAMID

A python package of a Riverware and Agent-based Modeling Interface for Developers.

Quantum-Hamiltonians

Accompanying code for the paper "Learning Potentials of Quantum Systems using Deep Neural Networks" by Sehanobish et al

rtm

A Python package for locating infrasound sources using reverse time migration

SeismicGNN

seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

StructurePreservingNN

Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).

Taylor-net

XGraphBoost