ncnet | PyTorch code for Neighbourhood Consensus Networks | Machine Learning library

by ignacio-rocco Jupyter Notebook Version: Current License: MIT

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

kandi X-RAY | ncnet Summary

ncnet is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. ncnet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is the implementation of the paper "Neighbourhood Consensus Networks" by I. Rocco, M. Cimpoi, R. Arandjelović, A. Torii, T. Pajdla and J. Sivic. For more information check out the project [website] and the paper on [arXiv].

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Quality

Security

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Support

ncnet has a low active ecosystem.

It has 164 star(s) with 37 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 1 have been closed. On average issues are closed in 6 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ncnet is current.

Quality

ncnet has 0 bugs and 0 code smells.

Security

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

ncnet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ncnet 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

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

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

It has 1534 lines of code, 68 functions and 15 files.

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

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ncnet Key Features

No Key Features are available at this moment for ncnet.

ncnet Examples and Code Snippets

No Code Snippets are available at this moment for ncnet.

Community Discussions

Trending Discussions on ncnet

I am getting this error of Float.Tensor and cuda.FloatTenson mismatch

QUESTION

I am getting this error of Float.Tensor and cuda.FloatTenson mismatch

Asked 2022-Feb-01 at 09:29

I am getting this error while running the training code of a model.

...

ANSWER

Answered 2022-Feb-01 at 09:29

Your input needs to be sent to the correct device:

Source https://stackoverflow.com/questions/70936889

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

Vulnerabilities

No vulnerabilities reported

Install ncnet

You can download it from GitHub.

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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