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79 followers · 31 following

Achievements

Achievement: YOLOAchievement: Starstruckx2Achievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Starstruckx2Achievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

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@OpenSourceEconomics @optimagic-dev

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janosg/README.md

Hi there

I am Janoś, a researcher at appliedAI Institute with a passion for coding and open-source software.

My biggest open-source project is optimagic, a package for nonlinear optimization. I started it in 2019 and through the help of amazing contributors it has grown into something larger and better than I ever imagined.

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  1. optimagic-dev/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…

    Python 280 43

  2. OpenSourceEconomics/pybaum Public

    Tools to work with pytrees.

    Python 17

  3. OpenSourceEconomics/dags Public

    Tools to create executable dags from interdependent functions.

    Python 16 1

  4. covid-19-impact-lab/sid Public

    Simulate the spread of COVID-19 with different policies

    Python 18

  5. OpenSourceEconomics/skillmodels Public

    Python 13 6

  6. OpenSourceEconomics/tranquilo Public

    The tranquilo optimizer.

    Python 6 1

417 contributions in the last year

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Activity overview

Contributed to aai-institute/pyDVL, optimagic-dev/optimagic, conda-forge/estimagic-feedstock and 12 other repositories
Loading A graph representing janosg's contributions from April 07, 2024 to April 12, 2025. The contributions are 69% commits, 19% code review, 7% pull requests, 5% issues. 19% Code review 5% Issues 7% Pull requests 69% Commits

Contribution activity

April 2025

Created an issue in optimagic-dev/optimagic that received 3 comments

Add 3d Visualizations of optimization problems

Current situation We have om.slice_plot to visualize objective functions. You can see them in action here Desired Situation For two-dimensional pr…

3 comments
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