Surrogate modeling and optimization for scientific machine learning (SciML)
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Updated
Oct 7, 2024 - Julia
Surrogate modeling and optimization for scientific machine learning (SciML)
A Julia package for generating timeseries surrogates
Automatic optimization and parallelization for Scientific Machine Learning (SciML)
A Python utility for publishing a social media story built from archived web pages to multiple services.
Unicode Security Toolkit
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
😌 Encode and decode pairs of surrogate characters in Python 3
Efficient framework for building surrogates of multidisciplinary systems using the adaptive multi-index stochastic collocation (AMISC) technique.
R code used for the analyses of the paper: Spatial conservation prioritisation in data-poor countries: a quantitative sensitivity analysis using different taxa
Unicode Security Toolkit
Open-source constructor of surrogates and metamodels
🗿 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
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