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Readme updates - #53

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EiffL merged 5 commits into
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readme_updates
Oct 21, 2025
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Readme updates#53
EiffL merged 5 commits into
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readme_updates

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This pull request updates the README.md to improve clarity, highlight available resources, and provide more comprehensive acknowledgments. The most important changes are grouped below:

Documentation and Resource Updates:

  • Added a Hugging Face model badge and link to the header, making it easier for users to access the model directly.
  • Updated the navigation links to include a "Tutorials" section, helping users find learning resources more easily.
  • Removed the "Alpha Testing" section, simplifying instructions and assuming general availability of model weights.
  • Added a new "Model" column to the model variants table, with a direct link to the base model and placeholders for upcoming models.
  • Removed a redundant reference to the online documentation, streamlining the quick start section.

Acknowledgments:

  • Expanded the acknowledgments section to recognize support from the Simons Foundation, Schmidt Sciences, GENCI at IDRIS, and the Flatiron Institute, providing transparency about project resources and support.

@EiffL
EiffL merged commit 8f8abd0 into mainOct 21, 2025
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amina1315 added a commit to amina1315/AION that referenced this pull request Aug 15, 2026
* minor tweak
* update readme
* Update publish-pypi.yml
* Update pyproject.toml
* Adding more information on pypi page
* Update README.md
* Update README.md
* Update README.md
* updating readme slightly
* fix formatting issues
* Created using Colab
* improve documentation
* fixing formatting
* Update README.md
* Readme updates (PolymathicAI#52)
* improving Readme for release
* small update
* fix alignment
* simplify
* Readme updates (PolymathicAI#53)
* improving Readme for release
* small update
* fix alignment
* simplify
* adding acknowledgements
* Created using Colab
* updating notebook
* Readme updates (PolymathicAI#54)
* improving Readme for release
* small update
* fix alignment
* simplify
* adding acknowledgements
* adding arxiv link
* add spectrum preprocessing fns
* add pad length for SDSS and DESI spectra
* preprocessing in torch
* make padding operate on Spectrum class; apply padding in codec
* fix assignment
* fix edge case
* updating notebook (PolymathicAI#65)
* Notebook update (PolymathicAI#66)
* updating notebook
* updating dataset
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Created using Colab
* fix(spectrum): use 'wavelength' key in pad_spectrum sentinels
`pad_spectrum` looks up sentinel values in `padding_values` while
iterating over the attribute names of `Spectrum` (`flux`, `ivar`,
`mask`, `wavelength`), but the dict key is `"lambda"`, so the
`wavelength` lookup misses and the wavelength tensor is padded with
the default `0` instead of the intended `99999`.
That makes the wavelength array non-monotonic
(`[real_min, …, real_max, 0, 0, …, 0]`). `LatentSpectralGrid.to_latent`
feeds it to `interp1d`, whose out-of-range mask is
`(xnew < x[..., 0]) | (xnew > x[..., -1])`. With `x[..., -1] == 0`,
every latent grid position satisfies `xnew > 0` and the whole latent
representation is replaced with `mask_value = 0.0`. Every spectrum then
encodes to (essentially) the same null embedding.
This shows up in downstream consumers that call the spectrum codec on
inputs whose length is less than `pad_length` (so `F.pad` actually
appends elements). Switching the dict key to `"wavelength"` so it
matches the attribute name fixes the sentinel.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* Update README.md
---------
Co-authored-by: lhparker1 <liamholdenparker@gmail.com>
Co-authored-by: Francois Lanusse <EiffL@users.noreply.github.com>
Co-authored-by: Francois Lanusse <fr.eiffel@gmail.com>
Co-authored-by: Jeff Shen <jshen2014@hotmail.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Tom Hehir <148493038+tom-hehir@users.noreply.github.com>
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@EiffL