deep-shallow

by jungokasai Python Version: Current License: MIT

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

kandi X-RAY | deep-shallow Summary

deep-shallow is a Python library. deep-shallow 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.

deep-shallow

Support

Quality

Security

License

Reuse

Support

deep-shallow has a low active ecosystem.

It has 20 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 21 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of deep-shallow is current.

Quality

deep-shallow has no bugs reported.

Security

deep-shallow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

deep-shallow 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

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

Run preprocess
Main function
Return a list of all available functions
Average checkpoints
Set up training
Parse command line arguments
Launch train
Preprocess IWSLT tags
Generate and process nbest results
Resolve a filename to a filename
Return a directory containing the nbest nbest list
Perform reprocessing
Get command line arguments
Setup training
Forward decoder
Preprocess IWSLT17 tags
Aligns the input
Compute the score for a given model
Apply masked multi - head attention
Compute a tensor
Perform a forward projection
Launch training
Generate light gradient
Generate the forward computation
Get hyperparameters
Calculate a single step
Forward computation
The main function
Performs a single step
Calculate checkpoint

Get all kandi verified functions for this library.

deep-shallow Key Features

No Key Features are available at this moment for deep-shallow.

deep-shallow Examples and Code Snippets

No Code Snippets are available at this moment for deep-shallow.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install deep-shallow

See our paper for more detail. 12-1 denotes a 12-layer encoder and 1-layer decoder. Model | Data | Test BLEU |---|---|---| WMT16 EN-DE 12-1 w/ Distillation | WMT16/14 Distilled Data | 28.3 WMT16 EN-DE 6-1 w/ Distillation | WMT16/14 Distilled Data | 27.4 WMT16 EN-DE 12-1 w/o Distillation | WMT16/14 Raw Data | 26.9 Additional Models WMT19 EN-DE Transformer Base | WMT19 EN-DE Transformer Big | WMT19 EN-DE moses tokenize + fastbpe.

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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