semvec/pypi-packages huggingface dataset:
nptsne 1.2.0
The nptsne package is designed to export a number of python classes that wrap tSNE and HSNE
License: Apache-2
Keywords: tSNE HSNE embedding GPU

### 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](https://nptsne.readthedocs.io/en/release-1.2.0)