SG-Net | guided machine reading comprehension

by cooelf Python Version: Current License: No License

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

kandi X-RAY | SG-Net Summary

SG-Net is a Python library typically used in Institutions, Learning, Education applications. SG-Net has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

SG-Net: Syntax-guided machine reading comprehension (AAAI 2020)

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Quality

Security

License

Reuse

Support

SG-Net has a low active ecosystem.

It has 58 star(s) with 22 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 347 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SG-Net is current.

Quality

SG-Net has 0 bugs and 0 code smells.

Security

SG-Net has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SG-Net code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SG-Net 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

SG-Net 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.

SG-Net saves you 1712 person hours of effort in developing the same functionality from scratch.

It has 3793 lines of code, 196 functions and 10 files.

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

Top functions reviewed by kandi - BETA

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

Convert tokens to features
Determine sub - words from queued tokens
Checks if the word spans in the document
Truncate a pair of tokens
Create a model from a pretrained model
Construct an instance from a JSON file
Create BertConfig from a dict
Load weights from a TensorFlow checkpoint file
Writes prediction results
Returns the n_best_size of the logits
Get the final prediction
Compute softmax
Forward forward computation
Transpose x into matrix
Transpose x into sparse matrix
This method is used to test the election
Converts a list of head positions into a list of spans
Convert a span token into a Span
Readrace - test
Load the ground truth data from a JSON file
Read squad examples
Given a list of features select the field
Convert TensorFlow checkpoint to PyTorch model
Perform a single step
Wrapper function for warmup

Get all kandi verified functions for this library.

SG-Net Key Features

No Key Features are available at this moment for SG-Net.

SG-Net Examples and Code Snippets

No Code Snippets are available at this moment for SG-Net.

Community Discussions

No Community Discussions are available at this moment for SG-Net.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install SG-Net

pip install -r requirements.txt.

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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