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.
Release files for tsnecuda 3.0.1
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tsnecuda-3.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / tsnecuda-3.0.1-py3-none-any.whl
| Download URL | tsnecuda-3.0.1-py3-none-any.whl |
|---|---|
| Size | 53.2 MB |
| Tags | Python 3 |
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twine/3.2.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.8
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