parametric_tsne_pytorch

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parametric_tsne_pytorch

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Implementation of regular and multiscale parametric t-SNE in pytorch

parametric_tsne_pytorch 최신버젼 다운로드

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# Parametric t-SNE in Pytorch

The code implements regular and multiscale parametric t-SNE in Pytorch.

![image](https://raw.githubusercontent.com/Academich/parametric_tsne_pytorch/master/demo_mnist.png)

Rename `example.config.yaml` to `config.yaml` before running the code.  
The demosntration is in the `Demonstration.ipynb` notebook.

Also check out [OpenTSNE](https://opentsne.readthedocs.io/en/latest/).

References:

* L.J.P. van der Maaten and G.E. Hinton. Visualizing High-Dimensional Data Using t-SNE. Journal of Machine Learning Research 9(Nov):2579-2605, 2008.
  * L.J.P. van der Maaten. Learning a Parametric Embedding by Preserving Local Structure. In Proceedings of the Twelfth International Conference on Artificial Intelligence & Statistics (AI-STATS), JMLR W&CP 5:384-391, 2009.
  * de Bodt, Cyril and Mulders, Dounia and Verleysen, Michel a Lee, John. (2018). Perplexity-free t-SNE and twice Student tt-SNE. 
  * Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee and Davide Bacciu. Perplexity-free Parametric t-SNE. arXiv:2010.01359v1  [cs.LG]  3 Oct 2020

parametric_tsne_pytorch

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