pip install twclassify==0.1.3
.
SourceAmong fairly niche packages on PyPI.
Over 532 downloads in the last 90 days.
twclassify
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
louvain is a general algorithm for methods of community detection in large networks. |
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System Dynamics Modeling in Python |
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Gaussian process regression with derivative constraints and predictions. |
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py-heat as IPython magic |
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Collection of tools/snippets useful for working with the python data analysis stack. Provides logging, matplotlibstyles, etc. |
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Quadratic Programming solvers for Python with a unified API |
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Bootstrap-based Sphinx theme from the PyData community |
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Test Driven Data Analysis |
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Multi-Language Server WebSocket proxy for Jupyter notebook or lab server for Python 3.5+. |
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A mincut/maxflow package for Python |
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Reads ImageJ ROIs. |
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Catboost Python Package |
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IPython magic function to print date/time stamps andvarious system information. |
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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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A collection sklearn transformers to encode categorical variables as numeric |
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Fast GloVe with optional retrofitting. |
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Time everything in IPython |
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Python package for stacking (machine learning technique) |
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Use evolutionary algorithms instead of gridsearch in scikit-learn. |
twclassify
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.1.3 |
30.64% |
0.1.2 |
25.94% |
0.1.1 |
24.25% |
0.1.0 |
19.17% |