Metadata-Version: 1.1
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
Description: ===========
        tsnecuda
        ===========
        
        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. 
        
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
