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Cu_Cat: end-to-end GPU Feature Encoding | ||
======================================== | ||
.. only:: html | ||
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.. image:: https://readthedocs.org/projects/cu_cat/badge/?version=latest | ||
:target: https://cu_cat.readthedocs.io/en/latest/?badge=latest | ||
:alt: Documentation Status | ||
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.. image:: https://github.com/graphistry/cu-cat/workflows/CI%20Tests/badge.svg | ||
:target: https://github.com/graphistry/cu-cat/actions?query=workflow%3ACI | ||
:alt: Build Status | ||
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.. image:: https://github.com/graphistry/cu-cat/workflows/CodeQL/badge.svg | ||
:target: https://github.com/graphistry/cu-cat/actions?query=workflow%3ACodeQL | ||
:alt: CodeQL Status | ||
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.. image:: https://img.shields.io/pypi/v/graphistry.svg | ||
:target: https://pypi.python.org/pypi/cu_cat | ||
:alt: PyPi Status | ||
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`cu-cat` is an end-to-end gpu Python library that encodes categorical variables into machine-learnable numerics. | ||
It is a cuda accelerated port of what was dirty_cat, now rebranded as skrub, and allows more ambitious interactive analysis & real-time pipelines! | ||
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.. toctree:: | ||
:maxdepth: 3 | ||
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cu_cat | ||
modules | ||
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Articles | ||
================== | ||
* `Cu_Cat: Hello interactive demo <https://github.com/dcolinmorgan/grph/blob/main/Hello_cu_cat.ipynb>`_ | ||
* `Cu_Cat + Single Cell <https://github.com/dcolinmorgan/grph/blob/main/single_cell_after_gpu.ipynb>`_ | ||
* `Cu_Cat + Chemical Mapping <https://github.com/dcolinmorgan/grph/blob/main/accelerating_chemical_mappings.ipynb>`_ | ||
* `Cu_Cat + Metagenomics <https://github.com/dcolinmorgan/grph/blob/main/accelerating_metagenomic_demo.ipynb>`_ | ||
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Indices and tables | ||
================== | ||
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* :ref:`genindex` | ||
* :ref:`modindex` | ||
* :ref:`search` | ||
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