theano-ctc | CTC implementation in Theano

by shawntan Python Version: Current License: No License

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

kandi X-RAY | theano-ctc Summary

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

CTC implementation in Theano.

Support

Quality

Security

License

Reuse

Support

theano-ctc has a low active ecosystem.

It has 43 star(s) with 18 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 1 have been closed. On average issues are closed in 215 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of theano-ctc is current.

Quality

theano-ctc has 0 bugs and 0 code smells.

Security

theano-ctc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

theano-ctc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

theano-ctc does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

theano-ctc releases are not available. You will need to build from source code and install.

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

theano-ctc saves you 218 person hours of effort in developing the same functionality from scratch.

It has 533 lines of code, 31 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Build step .
Forward backward pass .
Calculates the recurrence of the log - likelihood .
Build the LSTM layer .
Calculate the cost of a linear function .
Calculate the acc cost function .
Extract log probabilities .
Build the LSTM model .
Insert blanks into the given labels .
Log - softmax .

Get all kandi verified functions for this library.

theano-ctc Key Features

No Key Features are available at this moment for theano-ctc.

theano-ctc Examples and Code Snippets

No Code Snippets are available at this moment for theano-ctc.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install theano-ctc

You can download it from GitHub.
You can use theano-ctc 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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