pynmt | complete pytorch implementation of neural machine | Translation library

by wang-h Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pynmt Summary

pynmt is a Python library typically used in Utilities, Translation, Deep Learning, Pytorch, Neural Network, Transformer applications. pynmt has no bugs, it has no vulnerabilities and it has low support. However pynmt build file is not available. You can download it from GitHub.

Neural Machine Translation System (Pytorch).

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Quality

Security

License

Reuse

Support

pynmt has a low active ecosystem.

It has 13 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 358 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pynmt is current.

Quality

pynmt has 0 bugs and 0 code smells.

Security

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

pynmt code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pynmt 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

pynmt releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Compute the attention matrix
Create a sequence mask from a sequence of lengths
Test if arguments have the same value
Compute the BMM score
Train the model
Returns the accuracy
Update learning rate
Forward pass through the RNN
Forward a single RNN cell
Load training and validation dataset
Compute the loss
Read config file
Make the vocabulary
Dump an integer word embedding model
Prints the prediction
Plot attribute
Make argument parser
Compute the forward computation
Compute the criterion loss
Uses Gumbel softmax
Parse command line arguments
Forward computation
Create an embedding model
Calculate RCS summary level
Translates the given batch
Forward computation

Get all kandi verified functions for this library.

pynmt Key Features

No Key Features are available at this moment for pynmt.

pynmt Examples and Code Snippets

No Code Snippets are available at this moment for pynmt.

Community Discussions

Trending Discussions on pynmt

Splitting address with various delimiters into street address, city, state, zip and country

QUESTION

Splitting address with various delimiters into street address, city, state, zip and country

Asked 2020-Oct-16 at 13:02

My data is in Excel. I have several sheets of data where the address is always in the same column on every sheet. Examples of the address formats include:

1155 15th Street NW Suite 600 Washington, DC 20005 US
4600 Emperor Blvd #200 Durham, NC 27703-8577 US
200 Stevens Drive Philadelphia, PA 19113 US
505 City Parkway West Orange, CA 92868 US
550 S Caldwell St, Charlotte, NC 28202-2633 US
1643 NW 136th Ave Ste H200 Sunrise, FL 33323-2857 US

I have tried the code below, but get an error at this point in the code "sCity = Trim(Mid$(rCell.Value, Len(sAddress) + 1, lStatePos - Len(sAddress) - 1))"

Can anyone help me figure out how to resolve this issue?

...

ANSWER

Answered 2020-Oct-14 at 09:39

There are some inconstancies in your splitting logic, not counting that you'd have to compare your uppercase street array also with Ucase() string values.

Good news, however - as you seem to apply a consequent address logic, i.e. grouping city, state + zip around a last colon delimiter, you could try the following code:

Source https://stackoverflow.com/questions/64338496

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

Vulnerabilities

No vulnerabilities reported

Install pynmt

You can download it from GitHub.
You can use pynmt 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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