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Author:
Maarten de Vries
License:
BSD 3-Clause License
Copyright (c) 2026, Maarten de Vries
All rights reserved.
Redistribution and use in source and binary forms, with or without
modi...
Summary:
GPU-accelerated single-cell integration benchmarking metrics using RAPIDS (cuML, CuPy)
Latest version:
0.2.0
Required dependencies:
anndata
|
numpy
|
pandas
|
pynndescent
|
scikit-learn
|
scipy
|
umap-learn
Optional dependencies:
coverage
|
cudf-cu12
|
cudf-cu13
|
cugraph-cu12
|
cugraph-cu13
|
cupy-cuda12x
|
cupy-cuda13x
|
harmonypy
|
ipykernel
|
ipython
|
joblib
|
myst-nb
|
pre-commit
|
pybtex-docutils
|
pytest
|
scanpydoc
|
scib-metrics
|
sphinx
|
sphinx-book-theme
|
sphinx-copybutton
|
sphinxcontrib-bibtex
|
sphinxext-opengraph
|
twine
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