Surrogate modeling and optimization for scientific machine learning (SciML)
-
Updated
Jul 24, 2024 - Julia
Surrogate modeling and optimization for scientific machine learning (SciML)
Automatic optimization and parallelization for Scientific Machine Learning (SciML)
A Julia package for generating timeseries surrogates
Unicode Security Toolkit
😌 Encode and decode pairs of surrogate characters in Python 3
A Python utility for publishing a social media story built from archived web pages to multiple services.
Open-source constructor of surrogates and metamodels
R code used for the analyses of the paper: Spatial conservation prioritisation in data-poor countries: a quantitative sensitivity analysis using different taxa
This repo is for copula based analysis on bivariate as well as multivariate data sets in ecology and related fields. For details and citation we refer to this publication: Ghosh et al., Advances in Ecological Research, vol 62,pp 409, 2020
🗿 Slides of talk "Python JSON Emoji crash story" at Django Meetup Berlin 2020-02-18; latest PDF: https://github.com/hartwork/slides_python_json_emoji_crash_story/releases/download/v4/python-json-emoji-crash-story-2020-02-18-v4.pdf
Efficient framework for building surrogates of multidisciplinary systems using the adaptive multi-index stochastic collocation (AMISC) technique.
Unicode Security Toolkit
Add a description, image, and links to the surrogates topic page so that developers can more easily learn about it.
To associate your repository with the surrogates topic, visit your repo's landing page and select "manage topics."