Hi all, The Inria Parietal research team led by Bertrand Thirion and Gael Varoquaux has secured some funding for a student internship this summer.
The goal of the internship is to work on scikit-learn with me and possibly other members of the team. All contributions will go through the usual contribution workflow of the project via the standard pull request review process on Github. This includes writing test, benchmarking and profiling statistical models and improving the documentation. The exact scope of the contributions can be discussed based on the applicant's interests, areas of expertise and relevance with the ongoing efforts. Potential contributions include: - optimizing CPU and memory efficiency of existing models, - large scale matrix factorization (e.g. NMF implemented via SGD), - matrix completion methods for data with missing values, - testing, reviewing and improving contributions by other members of the project: https://github.com/scikit-learn/scikit-learn/pulls - fixing bugs: https://github.com/scikit-learn/scikit-learn/issues?milestone=11&state=open - working on joblib to improve caching, compression speed, memory usage or multi-core parallelization, - improving the Continuous Integration infrastructure to make Travis CI run tests with various versions of NumPy / SciPy, - automating the generation of binary packages (wheel) for various target platforms (in particular Windows) either using Rackspace Cloud or jenkins (or Travis if the windows support is added in the mean time). We are looking for candidates with a proven developer experience in Python, preferably with the scientific Python ecosystem (NumPy, SciPy...) and will favor applications with a track record of contributions to Open Source projects such as scikit-learn or others. Knowledge of machine learning is a strong plus but not strictly required if the applicant would like to focus on the software engineering side of the project. Both French and international students are eligible. - Duration: 3 to 4 months between June and October 2014 (or even later). - Location: Saclay (south-west of Paris) at the NeuroSpin lab. More details available here: https://team.inria.fr/parietal/ If you are interested, please feel free to send me an email privately with Bertrand and Gael in CC. Regards, -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Learn Graph Databases - Download FREE O'Reilly Book "Graph Databases" is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/13534_NeoTech _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
