segan_pytorch | Speech Enhancement Generative Adversarial Network | Machine Learning library

by santi-pdp Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | segan_pytorch Summary

segan_pytorch is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Generative adversarial networks applications. segan_pytorch 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.

Ahoprocessing tools (ahoproc_tools) is also needed, and the public repo is found here.

Support

Quality

Security

License

Reuse

Support

segan_pytorch has a low active ecosystem.

It has 327 star(s) with 107 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 22 open issues and 12 have been closed. On average issues are closed in 40 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of segan_pytorch is current.

Quality

segan_pytorch has 0 bugs and 0 code smells.

Security

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

segan_pytorch code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

segan_pytorch 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

segan_pytorch 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 are not available. Examples and code snippets are available.

segan_pytorch saves you 1781 person hours of effort in developing the same functionality from scratch.

It has 3938 lines of code, 150 functions and 19 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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segan_pytorch Key Features

No Key Features are available at this moment for segan_pytorch.

segan_pytorch Examples and Code Snippets

No Code Snippets are available at this moment for segan_pytorch.

Community Discussions

Trending Discussions on segan_pytorch

How can I convert a numpy array (wav data) to int16 with Python?

QUESTION

How can I convert a numpy array (wav data) to int16 with Python?

Asked 2019-Dec-26 at 16:35

I have some data that I assume is wav data. If I use:

...

ANSWER

Answered 2019-Dec-26 at 16:35

Answer was simple enough:

Source https://stackoverflow.com/questions/59463040

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

Vulnerabilities

No vulnerabilities reported

Install segan_pytorch

You can download it from GitHub.
You can use segan_pytorch 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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