adversarial_audio

by nesl Python Version: Current License: MIT

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

kandi X-RAY | adversarial_audio Summary

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

adversarial_audio

Support

Quality

Security

License

Reuse

Support

adversarial_audio has a low active ecosystem.

It has 28 star(s) with 11 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 82 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of adversarial_audio is current.

Quality

adversarial_audio has 0 bugs and 0 code smells.

Security

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

adversarial_audio code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

adversarial_audio 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

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

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

Installation instructions, examples and code snippets are available.

adversarial_audio saves you 797 person hours of effort in developing the same functionality from scratch.

It has 1831 lines of code, 72 functions and 14 files.

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

Top functions reviewed by kandi - BETA

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

Generate an attack
Perform crossover of two bytes
Generate a random mutation
Generate population member
Create an inference graph
Creates a low latency convolutional model
Create convolutional convolution layer
Create a pre - trained model
Label a WAV file
Runs the graph
Load a graph from file
Prepare the data index
Prepare a list of wanted words
Determine the data set based on the given filename
Loads all global variables from a checkpoint
Returns the size of the file
Get data
Get unprocessed data
Saves a wav file
Creates a model
Load a graph from a file

Get all kandi verified functions for this library.

adversarial_audio Key Features

No Key Features are available at this moment for adversarial_audio.

adversarial_audio Examples and Code Snippets

No Code Snippets are available at this moment for adversarial_audio.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install adversarial_audio

You can download it from GitHub.
You can use adversarial_audio 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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