segan | Speech Enhancement Generative Adversarial Network in TensorFlow | 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 Summary

segan is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Generative adversarial networks applications. segan has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

This is the repository of the SEGAN project. Our original paper can be found here, and test samples are available here.

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Quality

Security

License

Reuse

Support

segan has a medium active ecosystem.

It has 752 star(s) with 269 fork(s). There are 45 watchers for this library.

It had no major release in the last 6 months.

There are 48 open issues and 31 have been closed. On average issues are closed in 32 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of segan is current.

Quality

segan has 0 bugs and 0 code smells.

Security

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

segan code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

segan 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 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 saves you 648 person hours of effort in developing the same functionality from scratch.

It has 1504 lines of code, 63 functions and 8 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed segan and discovered the below as its top functions. This is intended to give you an instant insight into segan implemented functionality, and help decide if they suit your requirements.

Train the model
Loads checkpoint files
Save the model to disk
De - emph
Cleans up the data
Build the model
Build the model for a single GPU
Reads and decodes a Tensor from a file
Preemph
Process the encoder
Slice a signal
Reads and slices from a wav file
Test preemph

Get all kandi verified functions for this library.

segan Key Features

No Key Features are available at this moment for segan.

segan Examples and Code Snippets

No Code Snippets are available at this moment for segan.

Community Discussions

Trending Discussions on segan

Attempt to call local 'callback' (a nil value) error while trying to train SeGAN model

QUESTION

Attempt to call local 'callback' (a nil value) error while trying to train SeGAN model

Asked 2021-Jan-06 at 11:11

I am trying to implement the "SeGAN: Segmenting and Generating the invisible" paper on ubuntu 18.04 with Geforce RTX 2060. I have installed the Driver, CUDA, cuDNN, Torch7 and dependencies and downloaded and extracted the dataset and weights folders and made a link to them. I tried to train the model with this line of code:

...

ANSWER

Answered 2021-Jan-06 at 11:11

From the linked GitHub repo:

End2EndNetwork.lua line 81

Source https://stackoverflow.com/questions/65594137

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

Vulnerabilities

No vulnerabilities reported

Install segan

You can download it from GitHub.
You can use segan 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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