tf_kaldi_io | python package that make tensorflow | Speech library

by open-speech Python Version: 0.3.0 License: MIT

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

kandi X-RAY | tf_kaldi_io Summary

tf_kaldi_io is a Python library typically used in Artificial Intelligence, Speech applications. tf_kaldi_io 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 tf_kaldi_io' or download it from GitHub, PyPI.

A python package: provide a custom tensorflow dataset for kaldi io.

Support

Quality

Security

License

Reuse

Support

tf_kaldi_io has a low active ecosystem.

It has 39 star(s) with 9 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tf_kaldi_io is 0.3.0

Quality

tf_kaldi_io has 0 bugs and 0 code smells.

Security

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

tf_kaldi_io code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tf_kaldi_io 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

tf_kaldi_io 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, examples and code snippets are available.

tf_kaldi_io saves you 214 person hours of effort in developing the same functionality from scratch.

It has 524 lines of code, 27 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Finds the libtf_io library
Returns a list of shared library paths
Run CMake
Builds the given extension

Get all kandi verified functions for this library.

tf_kaldi_io Key Features

No Key Features are available at this moment for tf_kaldi_io.

tf_kaldi_io Examples and Code Snippets

3. test

Python

Lines of Code : 3

License : Permissive (MIT)

Copy

cd test
python test_tf_kaldi_dataset.py # test KaldiDataset: a python class wrapper of custom dataset
python test_tf_kaldi_io.py # test custom dataset: KaldiReaderDataset

Community Discussions

Trending Discussions on tf_kaldi_io

pip search finds tensorflow, but pip install does not

QUESTION

pip search finds tensorflow, but pip install does not

Asked 2020-Jan-23 at 06:55

I am trying to build a Django app that would use Keras models to make recommendations. Right now I'm trying to use one custom container that would hold both Django and Keras. Here's the Dockerfile I've written.

...

ANSWER

Answered 2019-Jan-02 at 22:56

It looks like tensorflow only publishes wheels (and only up to 3.6), and Alpine linux is not manylinux1-compatible due to its use of musl instead of glibc. Because of this, pip cannot find a suitable installation candidate and fails. Your best options are probably to build from source or change your base image.

Source https://stackoverflow.com/questions/54014076

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

Vulnerabilities

No vulnerabilities reported

Install tf_kaldi_io

install locally git clone https://github.com/open-speech/tf_kaldi_io.git cd tf_kaldi_io # checkout needed branch, master is with the lastest tf api (current: r1.12) git checkout -b [the_branch_as_your_tf_version] origin/[the_branch_as_your_tf_version] pip install .
or install from pypi (which is the master branch) pip --no-cache-dir install tf_kaldi_io

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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