Retrograph | Common Sense or World Knowledge

by Wluper Python Version: Current License: Apache-2.0

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

kandi X-RAY | Retrograph Summary

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

Retrograph is the official repo behind University of Mannheim's, TU Darmstadt's and Wluper's Commonsense Adapter Paper. The key idea is that one can inject knowledge into pretrained language models using Adapters.

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Quality

Security

License

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Support

Retrograph has a low active ecosystem.

It has 8 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Retrograph is current.

Quality

Retrograph has 0 bugs and 0 code smells.

Security

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

Retrograph code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Retrograph is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Retrograph 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.

Top functions reviewed by kandi - BETA

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

Runs the classifier
Construct a function that builds TPUEstimator
Convert a single example
Converts examples into features
Build file - based input function
Truncate a sequence pair
Transformer transformer model
Attention layer
Apply dropout
Reshape input tensor to a matrix
Build a function for TPUEstimator
Embedding postprocessor
Write examples to examples
Builds the input function
Convert examples into tfrecord
Builds a file - based input function
Fetches the evaluation results
Tokenize text
Plots the results of a CoLA task
Fetches all the train results
Creates training instances
Embed word embedding
Parse prediction files
Process MRPC data
Feedforward adapter
Creates a attention mask from input tensors
Analyze the test graph
Convert a list of walkers into text
Creates the joint assertions for random walks

Get all kandi verified functions for this library.

Retrograph Key Features

No Key Features are available at this moment for Retrograph.

Retrograph Examples and Code Snippets

No Code Snippets are available at this moment for Retrograph.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Retrograph

Step 0: Download BERT.
models/BERT_BASE_UNCASED
Step 1: Download Relations.
relations/cn_relationType*.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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