Maruti Kumar Mudunuru (maruti-iitm)

maruti-iitm

Geek Repo

Company:Pacific Northwest National Laboratory (PNNL))

Location:Richland, WA, USA

Home Page:https://www.linkedin.com/in/maruti87/

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Maruti Kumar Mudunuru's repositories

DL4SWAT

Scalable deep learning for SWAT model calibration

DL4HGP

Deep Learning to Estimate Permeability using Geophysical Data

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AI_ModEx_PFLOTRAN

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

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archived_codes_for_sfa_modeling

repo for setting up all SFA groundwater models before 2019

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dl4sci-scaling-tutorial

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

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dl4sci-tf-tutorials

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

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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.

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GeoThermalCloud.jl

Geothermal Cloud for Machine Learning

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GPTutorial

A hands-on tutorial on supervised learning with Gaussian processes

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LabelFree-DNN-Surrogate

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

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LipschitzRNN

Lipschitz Recurrent Neural Networks

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ML_E3SM_ELM

ML scripts for E3SM-ELM model

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neural-networks-and-deep-learning

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

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PFLOTRAN-SIP

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

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pinn

codes for PINNs

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pinns

Physics-informed neural networks

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PINNs-TF2.0

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

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SA-PINNs

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

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species_area_scaling

Topic-5 paper Quantifying species-area scaling relationships

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TensorDiffEq

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

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TensorFlow-Examples

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

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testing_data

test some data and read it to Google Colab

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training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

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TRIPODS_Winter_School_2022

Practicum on Supervised Learning in Function Spaces

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Understanding-NN

Tensorflow tutorial for various Deep Neural Network visualization techniques

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XCT_toy_data

Simple XCT toy data analysis

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