8000 Merge pull request #4201 from amueller/related_projects_skll · scikit-learn/scikit-learn@31c5497 · GitHub
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Merge pull request #4201 from amueller/related_projects_skll
[MRG] website: add skll to related projects
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doc/related_projects.rst

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- `sklearn_pandas <https://github.com/paulgb/sklearn-pandas/>`_ bridge for
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scikit-learn pipelines and pandas data frame with dedicated transformers.
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- `Scikit-Learn Laboratory
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<https://skll.readthedocs.org/en/latest/index.html>`_ A command-line
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wrapper around scikit-learn that makes it easy to run machine learning
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experiments with multiple learners and large feature sets.
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- `theano <http://deeplearning.net/software/theano/>`_ A CPU/GPU array
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processing framework geared towards deep learning research.
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Extensions and Algorithms
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Libraries that provide a scikit-learn like interface and can be used with scikit-learn tools.
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Libraries that provide a scikit-learn like interface and can be used with
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scikit-learn tools.
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- `pylearn2 <http://deeplearning.net/software/pylearn2/>`_ A deep learning and
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neural network library build on theano with scikit-learn like interface.
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- `lightning <http://www.mblondel.org/lightning/>`_ Fast state-of-the-art linear model solvers (SDCA, AdaGrad, SVRG, SAG, etc...).
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- `lightning <http://www.mblondel.org/lightning/>`_ Fast state-of-the-art
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linear model solvers (SDCA, AdaGrad, SVRG, SAG, etc...).
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- `Seqlearn <https://github.com/larsmans/seqlearn>`_ Sequence classification using HMMs or structured perceptron.
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- `Seqlearn <https://github.com/larsmans/seqlearn>`_ Sequence classification
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using HMMs or structured perceptron.
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- `HMMLearn <https://github.com/hmmlearn/hmmlearn>`_ Implementation of hidden
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markov models that was previously part of scikit-learn.

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