[Scikit-learn-general] Announcing scikit-learn-contrib

[Mathieu Blondel]

Dear scikit-learners,

The scikit-learn team is happy to announce the creation of
scikit-learn-contrib, a github organization for gathering high-quality
scikit-learn compatible projects.

https://github.com/scikit-learn-contrib

scikit-learn-contrib currently includes two projects:

- lightning: https://github.com/scikit-learn-contrib/lightning
- py-earth: https://github.com/scikit-learn-contrib/py-earth

Compatibility with scikit-learn means that these projects adhere to the
same intuitive interface as scikit-learn and are compatible with grid
search, pipelines, etc.

We welcome more projects, small or big! Our goal is to build a nice
ecosystem of reliable scikit-learn compatible projects.

To assist in the creation of new projects, we have created a
project-template:
https://github.com/scikit-learn-contrib/project-template

In scikit-learn, we are pretty selective on the projects we include:
notoriety (number of citations), general usefulness, no external
dependencies. In scikit-learn-contrib, we don't have such conditions.
Therefore, scikit-learn-contrib is the ideal home for cutting-edge
algorithms (e.g., the latest ICML or NIPS paper), domain-specific
algorithms, library wrappers, etc. We do have a few requirements but these
are purely technical (compatibility with scikit-learn, unit tests,
documentation). Once these requirements are satisfied, inclusion in the
organization should be a matter of a few days.

Interested? Take a look at the workflow:
https://github.com/scikit-learn-contrib/scikit-learn-contrib/blob/master/workflow.md

Cheers,
Mathieu