subsync | Synchronize your subtitles using machine learning | Machine Learning library

by tympanix Python Version: 0.1.5 License: Apache-2.0

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

kandi X-RAY | subsync Summary

subsync is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Neural Network applications. subsync has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install subsync' or download it from GitHub, PyPI.

Subsync analyses and processes the sound from your media files and uses machine learning to detect speech. Speech detection is used to shift existing subtitles for a perfect match in audio and text!.

Support

Quality

Security

License

Reuse

Support

subsync has a low active ecosystem.

It has 90 star(s) with 8 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 10 have been closed. On average issues are closed in 25 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of subsync is 0.1.5

Quality

subsync has no bugs reported.

Security

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

License

subsync is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Parse arguments
Predict values for the model
Transcode audio
Return the command to execute
Compute the MFCC of a media file
Train an annotation model
Extract the labels from a set of samples
Extract features from audio files
Convolution model
Plot the logloss over shifts
Plots the training history
Convert the model to a TF graph
Plot the training and validation history
Calculate the log loss
Plot the prediction
Plot the MFCC
Load an annotation model
Predict values

Get all kandi verified functions for this library.

subsync Key Features

No Key Features are available at this moment for subsync.

subsync Examples and Code Snippets

No Code Snippets are available at this moment for subsync.

Community Discussions

Trending Discussions on subsync

how to compare peewee dates in python code

QUESTION

how to compare peewee dates in python code

Asked 2017-Aug-03 at 12:03

I like to compare DateTimeField with peewee.datetime.datetime.now or today but cannot manage to do it. code snippet is as per below.

...

ANSWER

Answered 2017-Aug-03 at 12:03

add () to the now use peewee.datetime.datetime.now() !!!

Source https://stackoverflow.com/questions/45475276

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

Vulnerabilities

No vulnerabilities reported

Install subsync

You can install using 'pip install subsync' or download it from GitHub, PyPI.
You can use subsync 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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