ntm | TensorFlow implementation of Neural Turing Machines | Machine Learning library

by snowkylin Python Version: Current License: LGPL-3.0

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

kandi X-RAY | ntm Summary

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

TensorFlow implementation of Neural Turing Machines (NTM), as well as its application on one-shot learning (MANN). The models are ready to use -- they are encapsulated into classes NTMCell and MANNCell, and the usage is similar to LSTMCell in TensorFlow, so you can apply these models easily in other programs. The sample code is also provided. You can see my slide for more details about NTM and MANN.

Support

Quality

Security

License

Reuse

Support

ntm has a low active ecosystem.

It has 171 star(s) with 64 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 10 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 ntm is current.

Quality

ntm has 0 bugs and 0 code smells.

Security

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

ntm code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ntm is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

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

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

Train a NTM learning model
Fetch a batch of data
Test function for accuracy
Augment an image
One - hot encode array
The 5 - hot decode function
Generate random string
One - hot encode
Return a base N
Call LSTM
Calculate the head addition
Compute the least used tensor
Writes the value of the head addition of the given signal
Call the LSTM model
Attention layer
Runs the test batch

Get all kandi verified functions for this library.

ntm Key Features

No Key Features are available at this moment for ntm.

ntm Examples and Code Snippets

No Code Snippets are available at this moment for ntm.

Community Discussions

Trending Discussions on ntm

How can I convert MM::SS string into HMS format

Error with loops in R: Error "object not found"

QUESTION

How can I convert MM::SS string into HMS format

Asked 2021-Sep-08 at 03:06

I have the following data frame:

...

ANSWER

Answered 2021-Sep-08 at 02:59

as.PosIXct then as_hms works

Source https://stackoverflow.com/questions/69096450

QUESTION

Error with loops in R: Error "object not found"

Asked 2021-Jul-31 at 14:58

I have panel data with years from 2005 to 2015 and sectors from 1 to 33 (excluding 2, 4 and 31). I would like to run some loops and save the output for each year-sector combination separately. This is my code:

...

ANSWER

Answered 2021-Jul-31 at 14:58

This is too long for a comment.

The issue is that the inner loop of for (s in c(...)) {...} uses ntm_data which overwrites itself within the inner loop. So in the first pass, ntm_data$ICIS4 is a column. Plus, since we are subsetting, we don’t want subsequent iterations having been filtered based on the previous s.

Here's a snippet of the top of the beginning code with a new object at the start of the outer loop.:

Source https://stackoverflow.com/questions/68600662

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

Vulnerabilities

No vulnerabilities reported

Install ntm

You can download it from GitHub.
You can use ntm 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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