pip install MulticoreTSNE==0.1
Multicore version of t-SNE algorithm.
SourceAmong top 5% packages on PyPI.
Over 21.4K downloads in the last 90 days.
MulticoreTSNE
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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Deep Learning experiments from University of Chicago. |
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Image augmentation library for deep neural networks |
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Design of experiments for Python |
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Analysis tools for genomic interaction data stored in .cool format |
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Use evolutionary algorithms instead of gridsearch in scikit-learn. |
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Python package for stacking (machine learning technique) |
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Least squares anomaly detection. |
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Google Drive direct download of big files. |
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Debug machine learning classifiers and explain their predictions |
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Command Line Interface (CLI) and client to interact with Polyaxon API. |
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LiPD utilities to process, convert, and analyze data. |
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Python module for time-frequency analysis. |
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None |
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A workflow for contributing company knowledge, in the form of RMarkdowns, iPythons, and Markdowns, rendered and organized to magnify research impact across teams and time |
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Uniform Manifold Approximation and Projection |
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Defines a %%cache cell magic in the IPython notebook to cache results of long-lasting computations in a persistentpickle file. |
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Catboost Python Package |
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Tools for working with Kepler data in Python |
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Capstone disassembly engine |
MulticoreTSNEProportion of downloaded versions in the last 3 months (only versions over 1%).
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0.1 |
82.96% |
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0.0.1.1 |
17.04% |