Metadata-Version: 2.1
Name: tsnecuda
Version: 0.1.1
Summary: CUDA Implementation of T-SNE with Python bindings
Home-page: https://github.com/CannyLab/tsne-cuda
Author: Chan, David M., Huang, Forrest., Rao, Roshan.
Author-email: davidchan@berkeley.edu
License: LICENSE.txt
Keywords: TSNE,CUDA,Machine Learning,AI
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: POSIX :: Linux
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: numpy (>=1.14.1)

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tsnecuda
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tsnecuda provides an optimized CUDA implementation of the T-SNE algorithm by L Van der Maaten. tsnecuda is able to compute the T-SNE of large numbers of points up to 1200 times faster than other leading libraries, and provides simple python bindings with a SKLearn style interface::

    #!/usr/bin/env python

    from tsnecuda import TSNE
    embeddedX = TSNE(n_components=2).fit_transform(X)

For more information, check out the repository at https://github.com/rmrao/tsne-cuda. 


