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 < garyfalli...@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 > d...@python.org <neuroimag...@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@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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