pip install DCA==0.3.4
Count autoencoder for scRNA-seq denoising
SourceAmong top 50% packages on PyPI.
Over 4.9K downloads in the last 90 days.
DCA
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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Intel(R) Threading Building Blocks |
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Optimised tools for group-indexing operations: aggregated sum and more. |
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Count autoencoder for scRNA-seq denoising |
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Single-cell Variational Inference |
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Keras-hyperopt (kopt); Hyper-parameter tuning for Keras using hyperopt. |
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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 |
DCAProportion of downloaded versions in the last 3 months (only versions over 1%).
|
0.3.4 |
22.29% |
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0.3.2 |
17.97% |
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0.3.3 |
12.33% |
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0.3.1 |
9.55% |
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0.3 |
9.51% |
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0.2.3 |
4.64% |
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0.2.2 |
4.11% |
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0.1.2 |
3.94% |
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0.2 |
3.94% |
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0.2.1 |
3.92% |
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0.1.1 |
3.90% |
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0.1 |
3.88% |