8000 [MRG] website: add skll to related projects by amueller · Pull Request #4201 · scikit-learn/scikit-learn · GitHub
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14 changes: 11 additions & 3 deletions doc/related_projects.rst
Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,11 @@ Other packages useful for data analysis and machine learning.
- `sklearn_pandas <https://github.com/paulgb/sklearn-pandas/>`_ bridge for
scikit-learn pipelines and pandas data frame with dedicated transformers.

- `Scikit-Learn Laboratory
<https://skll.readthedocs.org/en/latest/index.html>`_ A command-line
wrapper around scikit-learn that makes it easy to run machine learning
experiments with multiple learners and large feature sets.

- `theano <http://deeplearning.net/software/theano/>`_ A CPU/GPU array
processing framework geared towards deep learning research.

Expand All @@ -26,14 +31,17 @@ Other packages useful for data analysis and machine learning.

Extensions and Algorithms
-------------------------
Libraries that provide a scikit-learn like interface and can be used with scikit-learn tools.
Libraries that provide a scikit-learn like interface and can be used with
scikit-learn tools.

- `pylearn2 <http://deeplearning.net/software/pylearn2/>`_ A deep learning and
neural network library build on theano with scikit-learn like interface.

- `lightning <http://www.mblondel.org/lightning/>`_ Fast state-of-the-art linear model solvers (SDCA, AdaGrad, SVRG, SAG, etc...).
- `lightning <http://www.mblondel.org/lightning/>`_ Fast state-of-the-art
linear model solvers (SDCA, AdaGrad, SVRG, SAG, etc...).

- `Seqlearn <https://github.com/larsmans/seqlearn>`_ Sequence classification using HMMs or structured perceptron.
- `Seqlearn <https://github.com/larsmans/seqlearn>`_ Sequence classification
using HMMs or structured perceptron.

- `HMMLearn <https://github.com/hmmlearn/hmmlearn>`_ Implementation of hidden
markov models that was previously part of scikit-learn.
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