BiLSTM-CRF | Keras BiLSTM-CRF model | Natural Language Processing library

by helloworld0909 Python Version: Current License: No License

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

kandi X-RAY | BiLSTM-CRF Summary

BiLSTM-CRF is a Python library typically used in Artificial Intelligence, Natural Language Processing, Keras applications. BiLSTM-CRF has no bugs, it has no vulnerabilities and it has low support. However BiLSTM-CRF build file is not available. You can download it from GitLab, GitHub.

Keras BiLSTM-CRF model for NLP sequence labeling task

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BiLSTM-CRF has a low active ecosystem.

It has 8 star(s) with 6 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

BiLSTM-CRF has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of BiLSTM-CRF is current.

Quality

BiLSTM-CRF has 0 bugs and 0 code smells.

Security

BiLSTM-CRF has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

BiLSTM-CRF code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

BiLSTM-CRF 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

BiLSTM-CRF releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

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

Computes the loss of the cross validation loss
Add boundary energy to x
Return the input mask
Calculate the cross - correlation loss for a sparse chain
Call viterbi decoding
Viterbi decomposition
Backward iteration
Calculate metric for each epoch
Compute the categorical metric
Compute the cross validation loss
Calculate the chain CRF loss
Predict with features
Predict the given model
Predict a model
Predict given raw sentence
Return the free energy of x
Build the model
Loads a CONLL file
Calculate the categorical metric
Return the casing of a word
Calculate the energy of a path

Get all kandi verified functions for this library.

BiLSTM-CRF Key Features

No Key Features are available at this moment for BiLSTM-CRF.

BiLSTM-CRF Examples and Code Snippets

No Code Snippets are available at this moment for BiLSTM-CRF.

Community Discussions

Trending Discussions on BiLSTM-CRF

Pytorch with CUDA throws RuntimeError when using pack_padded_sequence

regarding one code segment in computing log_sum_exp

QUESTION

Pytorch with CUDA throws RuntimeError when using pack_padded_sequence

Asked 2021-Jun-22 at 15:58

I am trying to train a BiLSTM-CRF on detecting new NER entities with Pytorch. To do so, I am using a snippet of code derivated from the Pytorch Advanced tutorial. This snippet implements batch training.

I followed the READ-ME in order to present data as required. Everything works great on CPU, but when I'm trying to get it to GPU, the following error occur :

...

ANSWER

Answered 2021-Jun-22 at 15:58

Within PadSequence function (which acts as a collate_fn which gathers samples and makes a batch from them) you are explicitly casting to cuda device, namely:

Source https://stackoverflow.com/questions/68086528

QUESTION

regarding one code segment in computing log_sum_exp

Asked 2020-May-18 at 05:18

In this tutorial on using Pytorch to implement BiLSTM-CRF, author implements the following function. In specific, I am not quite understand what does max_score_broadcast = max_score.view(1, -1).expand(1, vec.size()[1]) try to do?, or which kind of math formula it corresponds to?

...

ANSWER

Answered 2020-May-18 at 05:18

Looking at the code, it seems like vec has a shape of (1, n).
Now we can follow the code line by line:

Source https://stackoverflow.com/questions/61862579

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

Vulnerabilities

No vulnerabilities reported

Install BiLSTM-CRF

You can download it from GitLab, GitHub.
You can use BiLSTM-CRF 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.

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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