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henrykironde authored Feb 7, 2025
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2 changes: 2 additions & 0 deletions 2025/ideas-list.md
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Expand Up @@ -5,6 +5,8 @@ Since NumFOCUS is an umbrella organization you will only find links to the ideas
page of each organization under the NumFOCUS umbrella at this page.

- [aeon](https://github.com/aeon-toolkit/aeon-admin/blob/main/gsoc/gsoc-2025-projects.md)
- [ArviZ](https://github.com/arviz-devs/arviz/wiki/GsoC-2025-projects)
- [Data Retriever](https://github.com/weecology/retriever/wiki/GSoC-2025-Project-Ideas)


See the [README](https://github.com/numfocus/gsoc/blob/master/README.md#organizations-confirmed-under-numfocus-umbrella) for contact information of each org.
2 changes: 1 addition & 1 deletion README.md
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ArviZ is a project dedicated to promoting and building tools for exploratory analysis of Bayesian models. It currently has a Python and a Julia interface. ArviZ aims to integrate seamlessly with established probabilistic programming languages like PyStan, PyMC, Turing, Soss, emcee, or Pyro. Where the probabilistic programming languages aim to make it easy to build and solve Bayesian models, the ArviZ libraries aim to make it easy to process and analyze the results from those Bayesian models.
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<a href="https://www.arviz.org">Website</a> | <a href="https://github.com/arviz-devs/arviz/wiki/GSoC-2024-projects">Ideas List</a> | <a href="https://gitter.im/arviz-devs/community"> Contact (Gitter) </a> | <a href="https://github.com/arviz-devs">Source Code</a>
<a href="https://python.arviz.org/">Website</a> | <a href="https://github.com/arviz-devs/arviz/wiki/GSoC-2025-projects">Ideas List</a> | <a href="https://gitter.im/arviz-devs/community"> Contact (Gitter) </a> | <a href="https://github.com/arviz-devs">Source Code</a>
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