SG-Net | guided machine reading comprehension
kandi X-RAY | SG-Net Summary
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)
SG-Net: Syntax-guided machine reading comprehension (AAAI 2020)
Support
Quality
Security
License
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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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