detext | Deep Neural Text Understanding Framework for Ranking | Natural Language Processing library

by linkedin Python Version: v2.0.8 License: BSD-2-Clause

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

kandi X-RAY | detext Summary

detext is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Tensorflow, Bert applications. detext has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

![Python 3.6 application] ![Python 3.7 application] ![tensorflow] ![License] DeText: A Deep Neural Text Understanding Framework.

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Quality

Security

License

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Support

detext has a medium active ecosystem.

It has 1239 star(s) with 141 fork(s). There are 38 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 54 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of detext is v2.0.8

Quality

detext has 0 bugs and 0 code smells.

Security

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

detext code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

detext is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

detext releases are available to install and integrate.

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

Performs beam search .
Run custom training loop .
Train model .
Creates an optimizer .
Helper function to get padded shapes and values .
Compute similarity between query and user text .
Process gradients using explicit_allreduce .
Generates a function that transforms the features in the given dataset .
Generate a transformation function for classification .
Call the embedding layer .

Get all kandi verified functions for this library.

detext Key Features

No Key Features are available at this moment for detext.

detext Examples and Code Snippets

No Code Snippets are available at this moment for detext.

Community Discussions

Trending Discussions on detext

Vue.js 3 - How can I pass data between Vue components and let both views also update?

QUESTION

Vue.js 3 - How can I pass data between Vue components and let both views also update?

Asked 2020-Nov-13 at 11:00

I tried the following. Please note the commented line in parent.vue that doesn't even commit the new state for me. However maybe someone can guide me to a better solution for a global state shared by multiple components?

main.js

...

ANSWER

Answered 2020-Nov-12 at 09:44

You have a misconception about JavaScript unrelated to Vue/Vuex. This doesn't do what you expect:

Source https://stackoverflow.com/questions/64799814

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

Vulnerabilities

No vulnerabilities reported

Install detext

You can download it from GitHub.
You can use detext 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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