Hebel =====
    GPU-Accelerated Deep Learning Library in Python

    Hebel is a library for deep learning with neural networks in Python
    using GPU acceleration with CUDA through PyCUDA. It implements the most
    important types of neural network models and offers a variety of
    different activation functions and training methods such as momentum,
    Nesterov momentum, dropout, and early stopping.

    Models
    ------

    Right now, Hebel implements feed-forward neural networks for
    classification and regression on one or multiple tasks. Other models
    such as Autoencoder, Convolutional neural nets, and Restricted Boltzman
    machines are planned for the future.

    Hebel implements dropout as well as L1 and L2 weight decay for
    regularization.

    Optimization
    ------------

    Hebel implements stochastic gradient descent (SGD) with regular and
    Nesterov momentum.

    Compatibility
    -------------

    Currently, Hebel will run on Linux and Windows, and probably Mac OS X
    (not tested).

    Dependencies
    ------------

    -  PyCUDA
    -  numpy
    -  PyYAML
    -  skdata (only for MNIST example)

    Installation
    ------------

    Hebel is on PyPi, so you can install it with

    ::

        pip install hebel

    Getting started
    ---------------

    Study the yaml configuration files in ``examples/`` and run

    ::

        python train_model.py examples/mnist_neural_net_shallow.yml

    The script will create a directory in ``examples/mnist`` where the
    models and logs are saved.

    Read the Getting started guide at
    `hebel.readthedocs.org/en/latest/getting\_started.html <http://hebel.readthedocs.org/en/latest/getting_started.html>`__
    for more information.

    Documentation
    -------------

    `hebel.readthedocs.org <http://hebel.readthedocs.org>`__ (coming slowly)

    Contact
    -------

    Maintained by `Hannes Bretschneider <http://github.com/hannes-brt>`__
    (hannes@psi.utoronto.ca). If your are using Hebel, please let me know
    whether you find it useful and file a Github issue if you find any bugs
    or have feature requests.

    What's with the name?
    ---------------------

    *Hebel* is the German word for *lever*, one of the oldest tools that
    humans use. As Archimedes said it: *"Give me a lever long enough and a
    fulcrum on which to place it, and I shall move the world."*