maruti-iitm

NMFk.jl

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

DL4HGP

Deep Learning to Estimate Permeability using Geophysical Data

DL4SWAT

Scalable deep learning for SWAT model calibration

dash-multi-page-app-demos

Minimal examples of multi-page apps using Dash Pages

species_area_scaling

Quantifying Dissolved Organic Matter Scaling Relationships and Trends in Watersheds

Pore2Chip

A python package that takes XCT images of porous materials and generates representative lab-on-chip micromodels

Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash

Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt

Generative-AI-Tutorial

A subjective learning guide for generative AI research

CommSciMtg_Nov23

Materials and Resources for the Community Science Meeting of November 2023

Physics-informed-neural-network-in-JAX

Example problems in Physics informed neural network in JAX

DON_LSTM

DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks

pythonMCMC

A list of Python-based MCMC & ABC packages

scikit-fem

Simple finite element assemblers

GeoThermalCloud.jl

Geothermal Cloud for Machine Learning

piDMD

MATLAB codes for physics-informed dynamic mode decomposition (piDMD)

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

opendap-python

Python OpenDAP toolbox

BookCode_Edition1

ReGrid

Grid conversion for reservoir simulators

CANN

When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.org/10.1016/j.cma.2022.115731 and the relevant other papers from this repo

VB-DeepONet

PINN_Comp_Mech

PINN program for computational mechanics

GeoDT

Analysis tools for designing geothermal power systems in uncertain subsurface conditions

gpubootcamp

This repository consists for gpu bootcamp material for HPC and AI

deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

ms_net

The MultiScale Network for hierarchical regression (MS-Net) performs 3D regression based on a hierarchical principle: coarse inputs provide broad information about the data, and progressively finer-scale inputs can be used to refine this information.

PINNs

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

ML-for-materials-design

book

PDFs and Codelabs for the Efficient Deep Learning book.