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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.
      pythonparallel-computingnumerical-optimizationnumerical-differentiation
      Python
      •
      MIT License
      •30•266•20•4•Updated Nov 5, 2024Nov 5, 2024

    • scipy-2022-dev

      Public
      Development repository for the Scipy 2022 tutorial
      Jupyter Notebook
      •
      MIT License
      •0•0•0•2•Updated Nov 4, 2024Nov 4, 2024

    • estimagic_tables_examples

      Public
      This repository collects a set of example tables produced by `estimagic.estimation_table`
      TeX
      •
      MIT License
      •0•0•0•1•Updated Nov 4, 2024Nov 4, 2024

    • euroscipy-estimagic

      Public
      Companion repository to the tutorial "Introduction to numerical optimization" at the EuroSciPy 2023
      Jupyter Notebook
      •0•3•0•0•Updated Aug 15, 2023Aug 15, 2023

    • scipy-estimagic

      Public
      Tutorial on Practical Numerical Optimization with SciPy, Estimagic and JAXopt - SciPy 2022
      Jupyter Notebook
      •8•18•0•0•Updated Jul 14, 2022Jul 14, 2022