[scikit-learn] ANN: DIPY 1.1.1 - a powerful release

[Joel Nothman]

If the Scikit-learn mailing list is going to include announcements of
related package releases, could we please get a line or two describing that
package? I expect most readers here don't know of DIPY, or of its relevance
to Scikit-learn users. (I'm still not sure why it's generally relevant to
scikit-learn users.)

Thanks

On Fri, 17 Jan 2020 at 04:04, Eleftherios Garyfallidis <
garyfallidis at gmail.com> wrote:

> We are excited to announce a new release of DIPY:
>
>
> DIPY 1.1.1 is out! In addition:
>
>
> a) A new 5 day workshop available during March 16-20 to learn the theory
> and applications of the hundreds of methods available in DIPY 1.1.1
> Intense!
>
> See the exquisite program here <https://workshop.dipy.org>.
>
> *b) Given the need for a myriad of new DIPY derivative projects, DIPY
> moved to its own organization in GitHub. **Long live DIPY! *
> *And therefore, *https://github.com/dipy/dipy* supersedes https://github.com/nipy/dipy
> <https://github.com/nipy/dipy> The old link will be available as a redirect
> link for the next 6 months.*
>
> c) Please support us by *citing** DIPY* in your papers using the
> following DOI: 10.3389/fninf.2014.00008
> <https://www.ncbi.nlm.nih.gov/pubmed/24600385>otherwise the DIPY citation
> police will find you. ;)
>
> DIPY 1.1.1 (Friday, 10 January 2020)
>
> This release received contributions from 11 developers (the full release
> notes are at:
> https://dipy.org/documentation/1.1.1./release_notes/release1.1/). Thank
> you all for your contributions and feedback!
>
> Please click here <https://dipy.org/documentation/1.1.1./api_changes/> to
> check API changes.
>
> Highlights of this release include:
>
>    -
>
>    New module for deep learning DIPY.NN (uses TensorFlow 2.0).
>    -
>
>    Improved DKI performance and increased utilities.
>    -
>
>    Non-linear and RESTORE fits from DTI compatible now with DKI.
>    -
>
>    Numerical solutions for estimating axial, radial and mean kurtosis.
>    -
>
>    Added Kurtosis Fractional Anisotropy by Glenn et al. 2015.
>    -
>
>    Added Mean Kurtosis Tensor by Hansen et al. 2013.
>    -
>
>    Nibabel minimum version is 3.0.0.
>    -
>
>    Azure CI added and Appveyor CI removed.
>    -
>
>    New command line interfaces for LPCA, MPPCA and Gibbs Unringing.
>    -
>
>    New MTMS CSD tutorial added.
>    -
>
>    Horizon refactored and updated to support StatefulTractograms.
>    -
>
>    Speeded up all cython modules by using a smarter configuration setting.
>    -
>
>    All tutorials updated to API changes and 2 new tutorials added.
>    -
>
>    Large documentation update.
>    -
>
>    Closed 126 issues and merged 50 pull requests.
>
> Note:
>
>    -
>
>    Have in mind that DIPY stopped supporting Python 2 after version
>    0.16.0. All major Python projects have switched to Python 3. It is time
>    that you switch too.
>
>
>
> To upgrade or install <http://dipy.org/release0.10.html> DIPY
>
> Run the following command in your terminal:
> <http://dipy.org/release0.10.html>
>
> pip install --upgrade dipy
>
> or
>
> conda install -c conda-forge dipy
>
> This version of DIPY depends on nibabel (3.0.0+).
>
> For visualization you need FURY (0.4.0+).
>
> Questions or suggestions?
>
>
>
> For any questions go to http://dipy.org, or send an e-mail to
> dipy at python.org <neuroimaging at python.org>
>
> We also have an instant messaging service and chat room available at
> https://gitter.im/nipy/dipy
>
> On behalf of the DIPY developers,
>
> Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro
>
> https://dipy.org/contributors
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20200119/a0c60c5f/attachment-0001.html>