Surrogate modeling and optimization for scientific machine learning (SciML)

A modular code for teaching Surrogate Modeling-Based Optimization

Materials for my Structural and Multidisciplinary Design Optimization course

This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a future release. If you are interested in learning more, attending our workshops or webinars or using our data analysis services please contact bmchnon…

Japanese character optimizer for JavaScript

Probabilistic Response mOdel Fitting with Interactive Tools

A Julia package for generating timeseries surrogates

Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022

Official and maintained implementation of the paper "Differentiable JPEG: The Devil is in the Details" [WACV 2024].

Surrogate model library for Derivative-Free Optimization

In this repository I publish the python code, that was part of my master thesis. The thesis can be found here, however its in German though, sry. :/

A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization

Python tool for creating Kriging surrogate models

Fastify plugin to disable client-side caching

Create a surrogate ANN/GBR/GPR/SVR model for regression of nuclear reactor power distribution

A specialized surrogate function for phylogenetic likelihoods.

A service that provides archive-aware oEmbed-compatible embeddable surrogates (social cards, thumbnails, etc.) for archived web pages (mementos).

Academic

Smart surrogate keys for high performance databases

Neural-networks based sleep staging in tensorflow, and evalutation with Fourier-transform based surrogates.