optimagic
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- optimagic Public
optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.
optimagic-dev/optimagic’s past year of commit activity - estimagic_tables_examples Public
This repository collects a set of example tables produced by `estimagic.estimation_table`
optimagic-dev/estimagic_tables_examples’s past year of commit activity - optimini Public
A super minimalist bare bones rewrite to illustrate the core architectural ideas behind optimagic.
optimagic-dev/optimini’s past year of commit activity - euroscipy-estimagic Public
Companion repository to the tutorial "Introduction to numerical optimization" at the EuroSciPy 2023
optimagic-dev/euroscipy-estimagic’s past year of commit activity - scipy-estimagic Public
Tutorial on Practical Numerical Optimization with SciPy, Estimagic and JAXopt - SciPy 2022
optimagic-dev/scipy-estimagic’s past year of commit activity
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