CopyNet | CopyNet Implementation with Tensorflow and nmt | Machine Learning library

by lspvic Python Version: Current License: No License

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

kandi X-RAY | CopyNet Summary

CopyNet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Neural Network applications. CopyNet has no bugs, it has no vulnerabilities and it has low support. However CopyNet build file is not available. You can download it from GitHub.

CopyNet Paper: Incorporating Copying Mechanism in Sequence-to-Sequence Learning. CopyNet mechanism is wrapped with an exsiting RNN cell and used as an normal RNN cell. Official nmt is also modified to enable CopyNet mechanism.

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Quality

Security

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Support

CopyNet has a low active ecosystem.

It has 126 star(s) with 52 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 4 have been closed. On average issues are closed in 0 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of CopyNet is current.

Quality

CopyNet has 0 bugs and 0 code smells.

Security

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

CopyNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

CopyNet 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

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

CopyNet 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.

CopyNet saves you 2148 person hours of effort in developing the same functionality from scratch.

It has 4707 lines of code, 193 functions and 28 files.

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

Top functions reviewed by kandi - BETA

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

Adds arguments to the given parser
Train model
Trains the model
Loads inference data from a file
Adds a summary
Create a hyperparameters
Build the decoder cell
Get a list of cells
Get device string
Create embeddings
Create a pretrained embedding variable
Builds the decoder cell
Compute BLEU distance between two texts
Builds GNMT encoder
Decode and evaluate a model
Build the encoder module
Calculate RCSL summary level
Builds the graph
Calculate ROUGE score
Verify that the vocab is correct
Create hparams if necessary
Evaluate the given metric
Load hparams from disk
Load hparams from file
Get infer summary
Print hparams

Get all kandi verified functions for this library.

CopyNet Key Features

No Key Features are available at this moment for CopyNet.

CopyNet Examples and Code Snippets

No Code Snippets are available at this moment for CopyNet.

Community Discussions

Trending Discussions on CopyNet

apply same JavaScript code to several canvas?

QUESTION

apply same JavaScript code to several canvas?

Asked 2019-Nov-19 at 17:15

I'm trying to apply some JavaScript to canvas, all canvas have the same height and width properties. Since I'm a very beginner in JavaScript and I've never really manipulated canvas on HTML, is it possible to do that by simply using one JavaScript file ?

I've found another question that is really similar to my problem here : how to use same script.js file for calling different CSS class using multiple Ids

but even when i try the provided solution the code is even more broken as before.

Here is my HTML display for testing

...

ANSWER

Answered 2019-Nov-19 at 17:15

The minimal intrusion is probably to copy your canvas pixels to your destination canvas.

Since the update draws your canvas, we can assume that after each updates, the canvas is to be copied:

Source https://stackoverflow.com/questions/58938135

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

Vulnerabilities

No vulnerabilities reported

Install CopyNet

You can download it from GitHub.
You can use CopyNet 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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