Comments (2)
As Nisl has no graphical identity for the moment, we left the scikit-learn
layout for the documentation. Changing it is planned but, to avoid confusion, I
suggest that we change at least the logo so that users can distinguish Nisl for
scikit-learn.
Later. First we announce it on the Nipy mailing list. And to do this, we
need to fix a bunch of things (the APIs are not stable yet, for instance
the memory_level is missing).
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Logo has been changed.
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Related Issues (20)
- cancel concurrent CI workflows ? HOT 9
- Update examples to use "zscore_sample" `standardize` strategy HOT 2
- rename / refactor plotting specific fixture in conftest.py
- improve handling of temporary files during testing HOT 3
- [DOC] Update and improve examples in nilearn documentation HOT 21
- `'slice_time_ref' not provided` warning, even when provided HOT 1
- [DOC] improve instructions in "Default Mode Network extraction of ADHD dataset" example HOT 2
- [ENH] better error when mask with unmatched affine/shape occur in `intersect_masks` HOT 2
- [BUG] first_level_from_bids confused by "res" filter when looking for confounds.tsv HOT 5
- Failure in pre-release dependencies CI job HOT 1
- test error for order of printed argument with python 3.11 HOT 7
- Update changelog for PRs related to PEP8 compliance
- add make recipe to run all linting tool at once
- Failure on azure: spec 2.7 for architecture x64 did not match any version HOT 6
- Add `LassoCV` as an additional estimator for `Decoder` objects
- Remove mention of license in "header" of *.py file
- [DOC] Inconsistent description of return keys for `fetch_atlas_surf_destrieux` HOT 2
- [ENH] Node labels in view_connectome HOT 3
- [BUG] test_matrix_plotting.py:165: SyntaxWarning: assertion is always true, perhaps remove parentheses? HOT 4
- switch more CI away from azure and into GH actions
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