quora_duplicate_questions | detection quora duplicate question | Computer Vision library

by dylan-fan Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | quora_duplicate_questions Summary

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

detection quora duplicate question针对pair对，采用dnn识别重复文档.

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Support

quora_duplicate_questions has a low active ecosystem.

It has 18 star(s) with 9 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

quora_duplicate_questions has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of quora_duplicate_questions is current.

Quality

quora_duplicate_questions has 0 bugs and 0 code smells.

Security

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

quora_duplicate_questions code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

quora_duplicate_questions 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

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

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

quora_duplicate_questions saves you 131 person hours of effort in developing the same functionality from scratch.

It has 328 lines of code, 10 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Train a QuoraDUL dataset
Parse Quora - DUL data file
Vectorizes a sequence of ques
Build vocabulary
Saves predictions to file
Computes the maximum length between two sequences
Tokenize a string

Get all kandi verified functions for this library.

quora_duplicate_questions Key Features

No Key Features are available at this moment for quora_duplicate_questions.

quora_duplicate_questions Examples and Code Snippets

No Code Snippets are available at this moment for quora_duplicate_questions.

Community Discussions

Trending Discussions on quora_duplicate_questions

How to fix AttributeError: 'NoneType' object has no attribute '_inbound_nodes' that comes while creating lstm model using manhattan distance?

keras neural network giving float ouputs but i need boolean outputs

QUESTION

How to fix AttributeError: 'NoneType' object has no attribute '_inbound_nodes' that comes while creating lstm model using manhattan distance?

Asked 2019-Apr-11 at 06:05

I am trying to create a neural net model that return the similarity score of two sentences using manhattan LSTM (e.g.https://medium.com/mlreview/implementing-malstm-on-kaggles-quora-question-pairs-competition-8b31b0b16a07 ). I have used quora-questions pairs dataset and generated their embeddings using google-bert. Now, i want to create a LSTM model like the above examples and use it but i am getting the following error:

...

ANSWER

Answered 2019-Apr-11 at 06:05

left_output and right_output are obtained from the LSTM layer. The inputs are fed to the Input layer and through a series of Dense layers. However, note that there is no connection anywhere between the set of Dense layers and the LSTM. The Model expects the output from the LSTM layer which is not possible. This line keras.layers.concatenate should use the outputs from the shared_lstm rather than using the outputs of input layers directly. Like this

Source https://stackoverflow.com/questions/55622630

QUESTION

keras neural network giving float ouputs but i need boolean outputs

Asked 2018-Apr-01 at 10:25

this is my code loaded the pre-trained weights and embedding matrices

...

ANSWER

Answered 2018-Apr-01 at 10:25

try:

Source https://stackoverflow.com/questions/49596618

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

Vulnerabilities

No vulnerabilities reported

Install quora_duplicate_questions

You can download it from GitHub.
You can use quora_duplicate_questions 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.