pip install segmentation-models-pytorch==0.2.0
Image segmentation models with pre-trained backbones. PyTorch.
SourceAmong top 2% packages on PyPI.
Over 89.3K downloads in the last 90 days.
segmentation-models-pytorch
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Catalyst. PyTorch framework for DL research and development. |
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CasADi -- framework for algorithmic differentiation and numeric optimization |
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A package for accessing 2bit files using lib2bit |
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A pythonic wrapper around FFTW, the FFT library, presenting a unified interface for all the supported transforms. |
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Citations for Jupyter Notebooks |
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Python interval and interval set implementation |
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A python module creating/accessing GTF-based interval trees with associated meta-data |
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A frugal python package with some hyperspectral data goodies. |
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Extinction laws, maps and corrections |
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UNKNOWN |
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xarray Datasets from CASA Tables. |
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Python implementation of the multistate Bennett acceptance ratio (MBAR) method. |
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GUANO, the "Grand Unified" bat acoustics metadata format |
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Set of tools to parallelize MC calculations on clusters |
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Numerical integration of stochastic differential equations (SDE) |
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Distributed computing made easier, using remote objects |
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Convenient non-linear least squares fitting |
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Python Computer Graphics Kit v1 |
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Numerical integration of fractional ordinary differential equations (FODE) |
segmentation-models-pytorch
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.2.0 |
71.00% |
0.1.3 |
14.62% |
0.1.2 |
8.06% |
0.1.0 |
2.91% |
0.0.3 |
1.14% |