var-attn | Latent Alignment and Variational Attention

by harvardnlp Python Version: Current License: MIT

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

kandi X-RAY | var-attn Summary

var-attn is a Python library. var-attn has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However var-attn has 69 bugs. You can download it from GitHub.

Latent Alignment and Variational Attention

Support

Quality

Security

License

Reuse

Support

var-attn has a low active ecosystem.

It has 310 star(s) with 59 fork(s). There are 22 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 625 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of var-attn is current.

Quality

var-attn has 69 bugs (62 blocker, 0 critical, 6 major, 1 minor) and 127 code smells.

Security

var-attn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

var-attn code analysis shows 0 unresolved vulnerabilities.

There are 14 security hotspots that need review.

License

var-attn is licensed under the MIT License. This license is Permissive.

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

Reuse

var-attn 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 are not available. Examples and code snippets are available.

var-attn saves you 3539 person hours of effort in developing the same functionality from scratch.

It has 7573 lines of code, 430 functions and 57 files.

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

Top functions reviewed by kandi - BETA

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

Compute attention scores
Generate a sequence mask of given lengths
Test whether two arguments are equal
Sample from the model
Compute the loss function
Compute onmt Statistics
Detach from the input feed
Run onmt
Encode a single word
Train a model
Write the TensorBoard to the writer
Encodes a BPE text
Build an optimizer
Run the forward pass
Perform the forward computation
Updates the statistics for a pair of symbols
Forward the convolution
Forward the convolutional gradient
Forward pass through the RNN
Build a save dataset
Check if SRU requires SRU
Create argument parser
Forward the model
Start translation server
Run a forward pass
Run the translation
Forward computation

Get all kandi verified functions for this library.

var-attn Key Features

No Key Features are available at this moment for var-attn.

var-attn Examples and Code Snippets

No Code Snippets are available at this moment for var-attn.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install var-attn

You can download it from GitHub.
You can use var-attn 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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