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Name: Som Dhulipala
Type: User
Company: Idaho National Laboratory
Bio: Bayesian inference, UQ for machine learning, Machine learning for UQ, Predictive models, Parallel algorithms for UQ/ML
Location: Idaho Falls, ID
Name: Som Dhulipala
Type: User
Company: Idaho National Laboratory
Bio: Bayesian inference, UQ for machine learning, Machine learning for UQ, Predictive models, Parallel algorithms for UQ/ML
Location: Idaho Falls, ID
An R package for NUTS sampling using ADMB
Exploratory analysis of Bayesian models with Python
Efficiently computes derivatives of numpy code.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
These are a set of codes for simulating the Conditional Spectrum using a Bayesian Analysis. Simulated ground motions can be conveniently combined with real ground motion data through these codes. For more information, please refer to "A Bayesian Treatment of the Conditional Spectrum Approach for Ground Motion Selection". Report by Somayajulu Dhulipala and Madeleine Flint.
SCEC Broadband Platform
A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.
The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).
BlackBear is a MOOSE-based code for simulating degradation processes in concrete and other structural materials.
Bayes Net Toolbox for Matlab
Learning nonlinear operators via DeepONet
A library for scientific machine learning and physics-informed learning
Denoising Diffusion Probabilistic Models
This repo consists of the codes used for a paper titled "DISFUNCTIONALITY HAZARD: A RISK-BASED TOOL TO SUPPORT THE RESILIENT DESIGN OF SYSTEMS SUBJECTED TO SINGLE HAZARDS AND MULTIHAZARDS."
These are the codes for IM selection paper.
Fracturing And Liquid CONservation
FreeFEM user documentation
Publications from FRG
Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology
Matlab implementations of Gaussian processes and other machine learning tools.
Code for our paper "Hamiltonian Neural Networks"
Hamiltonian Neural Networks for solving Differential Equations
Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.