pip install scvi==0.6.8
Single-cell Variational Inference
SourceAmong top 50% packages on PyPI.
Over 4.1K downloads in the last 90 days.
scvi
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Keras-hyperopt (kopt); Hyper-parameter tuning for Keras using hyperopt. |
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Optimised tools for group-indexing operations: aggregated sum and more. |
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Intel(R) Threading Building Blocks |
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Work with Loom files for single-cell RNA-seq data |
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Single-cell Variational Inference |
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Legacy API wrapper. |
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Annotated Data. |
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Single-Cell Analysis in Python. |
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Distributed Asynchronous Hyperparameter Optimization |
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None |
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Neural Network visualization toolkit for keras |
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Sequential model-based optimization toolbox. |
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The tool to make NLP datasets ready to use |
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sinfo outputs version information for modules loaded in the current session, Python, and the OS. |
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Parse and create GEDCOM (genealogy) files |
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All things D-Wave System. |
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heuristic algorithm to find graph minor embeddings |
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Library to parse GraphML files in Python |
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Parse OpenVPN status logs in Python |
scvi
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.6.8 |
31.94% |
0.2.2 |
3.98% |
0.6.7 |
3.81% |
0.6.6 |
3.66% |
0.4.1 |
3.08% |
0.3.0 |
2.95% |
0.5.0 |
2.95% |
0.6.4 |
2.91% |
0.2.4 |
2.91% |
0.6.3 |
2.91% |
0.6.1 |
2.88% |
0.6.5 |
2.88% |
0.6.2 |
2.81% |
0.6.0 |
2.78% |
0.1.6 |
2.69% |
0.2.1 |
2.66% |
0.1.5 |
2.66% |
0.2.3 |
2.66% |
0.2.0 |
2.61% |
0.1.0 |
2.59% |
0.1.3 |
2.56% |
0.1.1 |
2.56% |
0.1.4 |
2.54% |
0.1.2 |
2.49% |
0.4.0 |
1.51% |