kaggle_nuclei | kaggle datascience bowl 2018 , predicting nuclei of cells

by SummitKwan Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | kaggle_nuclei Summary

kaggle_nuclei is a Python library. kaggle_nuclei has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However kaggle_nuclei build file is not available. You can download it from GitHub.

kaggle datascience bowl 2018, predicting nuclei of cells.

Support

Quality

Security

License

Reuse

Support

kaggle_nuclei has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

kaggle_nuclei has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of kaggle_nuclei is current.

Quality

kaggle_nuclei has no bugs reported.

Security

kaggle_nuclei has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

kaggle_nuclei is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

kaggle_nuclei releases are not available. You will need to build from source code and install.

kaggle_nuclei has no build file. You will be need to create the build yourself to build the component from source.

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kaggle_nuclei Key Features

No Key Features are available at this moment for kaggle_nuclei.

kaggle_nuclei Examples and Code Snippets

No Code Snippets are available at this moment for kaggle_nuclei.

Community Discussions

No Community Discussions are available at this moment for kaggle_nuclei.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install kaggle_nuclei

You can download it from GitHub.
You can use kaggle_nuclei like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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