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 or the hierarchical SNE (hSNE) method.
When using nptsne please include the following citations when using t-SNE and or using HSNE:
using t-SNE
*Pezzotti, N., Thijssen, J., Mordvintsev, A., Höllt, T., Van Lew, B., Lelieveldt, B.P.F., Eisemann, E., Vilanova, A., (2020), "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: https://doi.org/10.1109/TVCG.2019.2934307 *
using HNSE
*Pezzotti, N., Höllt, T., Lelieveldt, B., Eisemann, E., Vilanova, A., (2016), "Hierarchical Stochastic Neighbor Embedding" in Computer Graphics Forum, 35: 21-30.
doi:10.1111/cgf.12878
keywords: {Categories and Subject Descriptors (according to ACM CCS), I.3.0 Computer Graphics: General},
URL: https://doi.org/10.1111/cgf.12878 *
Attributions
The t-SNE and HSNE implementations are the original work of the authors named in the literature.
Full documentation
Full documentation is available at the nptsne doc pages
Demos
Demos, runnable via uv, are at [nptsne demo release pages] https://github.com/biovault/nptsne/releases/tag/v2.0.3
Metadata
Release files for nptsne 2.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 17.8 MB
Release files / nptsne-2.0.3-cp314-cp314-win_amd64.whl
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Release files / nptsne-2.0.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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Release files / nptsne-2.0.3-cp314-cp314-macosx_14_0_arm64.whl
| Download URL | nptsne-2.0.3-cp314-cp314-macosx_14_0_arm64.whl |
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Release files / nptsne-2.0.3-cp313-cp313-win_amd64.whl
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Release files / nptsne-2.0.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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Release files / nptsne-2.0.3-cp313-cp313-macosx_14_0_arm64.whl
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Release files / nptsne-2.0.3-cp312-cp312-win_amd64.whl
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Release files / nptsne-2.0.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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Release files / nptsne-2.0.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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Release files / nptsne-2.0.3-cp311-cp311-macosx_14_0_arm64.whl
| Download URL | nptsne-2.0.3-cp311-cp311-macosx_14_0_arm64.whl |
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Release files / nptsne-2.0.3-cp310-cp310-win_amd64.whl
| Download URL | nptsne-2.0.3-cp310-cp310-win_amd64.whl |
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Release files / nptsne-2.0.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
| Download URL | nptsne-2.0.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl |
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| Size | 1.7 MB |
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Release files / nptsne-2.0.3-cp310-cp310-macosx_14_0_arm64.whl
| Download URL | nptsne-2.0.3-cp310-cp310-macosx_14_0_arm64.whl |
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