ProQA | Progressively Pretrained Dense Corpus Index | Natural Language Processing library

by xwhan Python Version: Current License: No License

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

kandi X-RAY | ProQA Summary

ProQA is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. ProQA has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Resource-efficient method for pretraining a dense corpus index for open-domain QA and IR. Given a question, you could use this code to retrieval relevant paragraphs from Wikipedia and extract answers.

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ProQA has a low active ecosystem.

It has 39 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

ProQA has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ProQA is current.

Quality

ProQA has 0 bugs and 0 code smells.

Security

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

ProQA code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ProQA 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

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

ProQA saves you 1678 person hours of effort in developing the same functionality from scratch.

It has 3721 lines of code, 223 functions and 26 files.

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

Top functions reviewed by kandi - BETA

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

Loads the dataset
Collate tensorflow embeds
Add special token
Join two sentences
Check if character is whitespace
Run a prediction
Compute embedding
Moves a tensor from a tensor
Computes the final text between pred_text and orig_text
Evaluate accuracy
Moves a tensor to a GPU
This function is used for debugging purposes
Load OpenQA dataset
Process qa para
Compute the F1 score
Return True if the character is whitespace
Get the text associated with a document
Compute the score for a given answer
Tokenize data
Find spans in the document
Get command line arguments
Collate OpenQA dataset
Process ground parameters
Run clustering
Return n - grams
Retrieve the topk embedding of the embedding
Return a list of entity groups

Get all kandi verified functions for this library.

ProQA Key Features

No Key Features are available at this moment for ProQA.

ProQA Examples and Code Snippets

No Code Snippets are available at this moment for ProQA.

Community Discussions

Trending Discussions on ProQA

Tkinter Gui linking button to .py file to open another Gui

QUESTION

Tkinter Gui linking button to .py file to open another Gui

Asked 2017-Jul-09 at 01:30

Good Evening! I am trying to figure out how to get a button to, when clicked, open up another Gui in another .py file that is in the same file folder. (I have tried every answer given in other questions that remotely might answer this for me).

...

ANSWER

Answered 2017-Jul-09 at 01:30

You need to import that other .py file into your current one

Do this just like any other module. import myfile.py

create another tkinter function in the external script

link the button to the function in the external script.

The button links with the command key. so it should look like:

Source https://stackoverflow.com/questions/44991774

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

Vulnerabilities

No vulnerabilities reported

Install ProQA

If you want to used mixed precision training, you need to follow Nvidia Apex repo to install Apex if your GPUs support fp16.
The data folder includes the QA datasets and also the paragraph database nq_paras.db which can be used with sqlite3. If the command line fails to download the file, please use your brower instead.

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The data folder includes the QA datasets and also the paragraph database nq_paras.db which can be used with sqlite3. If the command line fails to download the file, please use your brower instead.

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