tensorflow-font2char2word2sent2doc | TensorFlow implementation of Hierarchical | Natural Language Processing library

by raviqqe Python Version: 0.0.12 License: Unlicense

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

kandi X-RAY | tensorflow-font2char2word2sent2doc Summary

tensorflow-font2char2word2sent2doc is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Tensorflow applications. tensorflow-font2char2word2sent2doc 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 tensorflow-font2char2word2sent2doc' or download it from GitHub, PyPI.

TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension

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tensorflow-font2char2word2sent2doc has a low active ecosystem.

It has 95 star(s) with 33 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 1224 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow-font2char2word2sent2doc is 0.0.12

Quality

tensorflow-font2char2word2sent2doc has 0 bugs and 0 code smells.

Security

tensorflow-font2char2word2sent2doc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorflow-font2char2word2sent2doc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tensorflow-font2char2word2sent2doc is licensed under the Unlicense License. This license is Permissive.

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

Reuse

tensorflow-font2char2word2sent2doc 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.

tensorflow-font2char2word2sent2doc saves you 195 person hours of effort in developing the same functionality from scratch.

It has 479 lines of code, 31 functions and 19 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed tensorflow-font2char2word2sent2doc and discovered the below as its top functions. This is intended to give you an instant insight into tensorflow-font2char2word2sent2doc implemented functionality, and help decide if they suit your requirements.

Define a sentence model
Embedding of a document
Embed word embedding
Embed word2word embedding
Add child flags
Return a numpy array of fonts
Calculate attention
Convert a font
Attention to images
Convolution layer
Restore document shape
Reshape sentence shape
Flattens a document into sentences
Define a function used to classify a sentence
Convert a document to sentences
Define a function for word2vec

Get all kandi verified functions for this library.

tensorflow-font2char2word2sent2doc Key Features

No Key Features are available at this moment for tensorflow-font2char2word2sent2doc.

tensorflow-font2char2word2sent2doc Examples and Code Snippets

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Community Discussions

Trending Discussions on tensorflow-font2char2word2sent2doc

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 tensorflow-font2char2word2sent2doc

You can install using 'pip install tensorflow-font2char2word2sent2doc' or download it from GitHub, PyPI.
You can use tensorflow-font2char2word2sent2doc 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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