dssm | Attention DSSM implementation with tensorflow estimator | Machine Learning library

by cdj0311 Python Version: Current License: No License

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

kandi X-RAY | dssm Summary

dssm is a Python library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. dssm has no bugs, it has no vulnerabilities and it has low support. However dssm build file is not available. You can download it from GitHub.

A BiGRU-Attention DSSM implementation with tensorflow estimator. 之前使用Keras和paddlepaddle实现过DSSM文本表示模型，(由于Keras做分布式计算比较麻烦，而paddlepaddle早已弃用，现在用tensorflow的高级API tf.estimator重写一遍，其中表示层使用双向GRU+Attention，最终输出为64维的向量。.

Support

Quality

Security

License

Reuse

Support

dssm has a low active ecosystem.

It has 60 star(s) with 17 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 3 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 dssm is current.

Quality

dssm has 0 bugs and 0 code smells.

Security

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

dssm code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dssm 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

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

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

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

dssm saves you 121 person hours of effort in developing the same functionality from scratch.

It has 305 lines of code, 22 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Build a model
RNN layer
Build a document model
Build a query model
Attention layer
Embed sentence embedding layer
Embed word embedding
Compute the length of sequences
Convert a TFRecord to a TFRecord
Convert a sentence to id
Creates a train feature
Find the similarity of a sentence
Convert sentence to vector
Load a predictor from saved files
Train TFRecord dataset
Create a tf dataset

Get all kandi verified functions for this library.

dssm Key Features

No Key Features are available at this moment for dssm.

dssm Examples and Code Snippets

No Code Snippets are available at this moment for dssm.

Community Discussions

Trending Discussions on dssm

Laravel 8 - Submit button not working with multiple forms

QUESTION

Laravel 8 - Submit button not working with multiple forms

Asked 2021-Jan-12 at 14:09

I'm trying to use a submit button that creates a registry (Memo) and it's products asociated to that Memo, however, I cannot get this to work.

I think it might be because I have a form inside another form. However I believe since my submit button its outside the inner form, should still work (it worked before).

I'll put my create.blade.php code below:

...

ANSWER

Answered 2021-Jan-12 at 14:09

HTML does not support nested forms, so the browser turns them into one. Which is why your button is outside the form. Remove the nested form and everything will work.

Source https://stackoverflow.com/questions/65685387

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

Vulnerabilities

No vulnerabilities reported

Install dssm

You can download it from GitHub.
You can use dssm 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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