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The nptsne package is designed to export a number of python classes that wrap tSNE.

Project description

nptsne - A numpy compatible python extension for GPGPU linear complexity tSNE

The nptsne package is designed to export a number of python classes that wrap GPGPU linear complexity tSNE implementations based on the following publications DOI: 10.1109/TVCG.2019.2934307 or the arXiv preprint

When using nptsne please include the following citation:

N. Pezzotti et al., "GPGPU Linear Complexity t-SNE Optimization," in IEEE Transactions on Visualization and Computer Graphics.
doi: 10.1109/TVCG.2019.2934307
keywords: {Minimization;Linear programming;Computational modeling;Approximation algorithms;Complexity theory;Optimization;Data visualization;High Dimensional Data;Dimensionality Reduction;Progressive Visual Analytics;Approximate Computation;GPGPU},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8811606&isnumber=4359476

Attributions

The tSNE implementations are the original work of the authors named in the literature.

Full documentation

Full documentation is available at the nptsne doc pages

Wrapper classes
Class Description Doc link
TextureTsne Linear time tSNE reliant on GPU textures https://biovault.github.io/nptsne/nptsne.html#nptsne.TextureTsne
TextureTsneExtended Linear time tSNE reliant on GPU textures, extended API https://biovault.github.io/nptsne/nptsne.html#nptsne.TextureTsneExtended
Linux support

Linux: (only Ubuntu 16.06 and upward is supported). Download the correct file (see below) for your python version and install using pip install .whl

py36 py37
Ubuntu py36 wheel Ubuntu py37 wheel

Project details


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nptsne-1.0.0-cp37-none-win_amd64.whl (251.3 kB view hashes)

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nptsne-1.0.0-cp36-none-win_amd64.whl (251.3 kB view hashes)

Uploaded CPython 3.6 Windows x86-64

nptsne-1.0.0-cp36-none-macosx_10_6_intel.whl (412.8 kB view hashes)

Uploaded CPython 3.6 macOS 10.6+ intel

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