maruti-iitm Goto Github PK

1dbloodflowpinns

ai_modex_pflotran

AI-enabled model-experimental-data integration to emulate and calibrate PFLOTRAN

archived_codes_for_sfa_modeling

repo for setting up all SFA groundwater models before 2019

cadgms

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

dl4hgp

Deep Learning to Estimate Permeability using Geophysical Data

dl4sci-scaling-tutorial

Deep Learning Scaling tutorial material for the Deep Learning for Science School at Berkeley Lab

dl4sci-tf-tutorials

Official TensorFlow 2.0 tutorial notebooks for the Deep Learning for Science School at LBNL

dl4swat

Scalable deep learning for SWAT model calibration

eos-essi-data-table

In this Github link, we provide a table that summarizes FAIR data repositories. This table is for Earth and Space Science Informatics EOS-article.

geothermalcloud.jl

Geothermal Cloud for Machine Learning

gptutorial

A hands-on tutorial on supervised learning with Gaussian processes

hottbox-tutorials

:orange_book: HOTTBOX: Higher Order Tensors ToolBOX. Tutorials

labelfree-dnn-surrogate

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

lipschitzrnn

Lipschitz Recurrent Neural Networks

ml_e3sm_elm

ML scripts for E3SM-ELM model

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

path-space-pde-solver

pflotran-sip

This is a public repository of input files that were used for the example problem of PFLOTRAN-SIP framework.

pinn

codes for PINNs

pinns

Physics-informed neural networks

pinns-tf2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

release

sa-pinns

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

seismodl101

Tutorial on seismic signal/noise classification; from linear to deep classifiers

species_area_scaling

Topic-5 paper Quantifying species-area scaling relationships

ssa_machine_learning_2019

tensordiffeq

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow_deep_taylor_lrp

Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow