ashenvenus | Entry to the 2023 Scroll Prize

by hu-po Python Version: Current License: MIT

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

kandi X-RAY | ashenvenus Summary

ashenvenus is a Python library. ashenvenus has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This repo is an open source entry to the 2023 Scroll Prize aka The Vesuvius Challenge. The name for this repo comes from Venus, who was the patron saint of Pompeii, the city covered in Ash by the volcano Vesuvius.

Support

Quality

Security

License

Reuse

Support

ashenvenus has a low active ecosystem.

It has 29 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of ashenvenus is current.

Quality

ashenvenus has no bugs reported.

Security

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

License

ashenvenus is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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ashenvenus Key Features

No Key Features are available at this moment for ashenvenus.

ashenvenus Examples and Code Snippets

No Code Snippets are available at this moment for ashenvenus.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ashenvenus

Segment Anything
HyperOpt
PyTorch
Tensorboard

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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