Metadata-Version: 1.1
Name: Braindecode
Version: 0.1.6.3
Summary: A deep learning toolbox to decode raw time-domain EEG.
Home-page: https://github.com/robintibor/braindecode
Author: Robin Tibor Schirrmeister
Author-email: robintibor@gmail.com
License: BSD 3-Clause
Description: Note: The old braindecode repository has been moved to
        https://github.com/robintibor/braindevel.
        
        Braindecode
        ===========
        
        A deep learning toolbox to decode raw time-domain EEG.
        
        For EEG researchers that want to want to work with deep learning and
        deep learning researchers that want to work with EEG data.
        For now focussed on convolutional networks.
        
        
        Installation
        ============
        
        1. Install pytorch from http://pytorch.org/ (you don't need to install torchvision).
        
        2. Install numpy (necessary for resamply installation to work), e.g.:
        
        .. code-block:: bash
        
          pip install numpy
        
        3. Install newest version of python-mne:
        
        .. code-block:: bash
        
          git clone git://github.com/mne-tools/mne-python.git
          cd mne-python
          python setup.py install
        
        
        4. Install braindecode via pip:
        
        .. code-block:: bash
        
          pip install braindecode
        
        
        
        Documentation
        =============
        
        Documentation is online under https://robintibor.github.io/braindecode/
        
Keywords: eeg deep-learning brain-state-decoding
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development :: Build Tools
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
