pip install nilearn==0.8.1
Statistical learning for neuroimaging in Python
SourceAmong top 2% packages on PyPI.
Over 76.2K downloads in the last 90 days.
nilearn
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
pyvista qt plotter |
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None |
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Python module for time-frequency analysis. |
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LiPD utilities to process, convert, and analyze data. |
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Analysis tools for genomic interaction data stored in .cool format |
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Simple utilties to explore the Gnip search API |
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Python package for stacking (machine learning technique) |
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Use evolutionary algorithms instead of gridsearch in scikit-learn. |
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sinfo outputs version information for modules loaded in the current session, Python, and the OS. |
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Diffusion MRI utilities in python |
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Preconditoned ICA for Real Data |
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N-D labeled arrays and datasets in Python |
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Easier Pythonic interface to VTK |
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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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Uniform Manifold Approximation and Projection |
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EQcorrscan - matched-filter earthquake detection and analysis |
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An implementation of the Chinese Whispers clustering algorithm. |
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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 |
nilearn
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.8.1 |
33.83% |
0.8.0 |
30.32% |
0.6.1 |
8.51% |
0.7.1 |
7.70% |
0.6.2 |
6.60% |
0.5.2 |
2.99% |
0.7.0 |
2.67% |
0.4.1 |
1.18% |