Multicore-TSNE | SNE implementation with Python and Torch wrappers | Machine Learning library

by DmitryUlyanov C++ Version: Current License: BSD-3-Clause

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

kandi X-RAY | Multicore-TSNE Summary

Multicore-TSNE is a C++ library typically used in Artificial Intelligence, Machine Learning applications. Multicore-TSNE has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Parallel t-SNE implementation with Python and Torch wrappers.

Support

Quality

Security

License

Reuse

Support

Multicore-TSNE has a medium active ecosystem.

It has 1751 star(s) with 223 fork(s). There are 41 watchers for this library.

It had no major release in the last 6 months.

There are 38 open issues and 21 have been closed. On average issues are closed in 162 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Multicore-TSNE is current.

Quality

Multicore-TSNE has no bugs reported.

Security

Multicore-TSNE has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Multicore-TSNE is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Multicore-TSNE releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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Multicore-TSNE Key Features

No Key Features are available at this moment for Multicore-TSNE.

Multicore-TSNE Examples and Code Snippets

No Code Snippets are available at this moment for Multicore-TSNE.

Community Discussions

Trending Discussions on Multicore-TSNE

Problems installing Multicore-TSNE

QUESTION

Problems installing Multicore-TSNE

Asked 2018-Jun-14 at 16:41

I'm currently attempting to install Multicore-TSNE and have to use Windows for that. I'm using Python 3.6.

After running pip install . (as explained in the installation instructions) in the correct folder, I always end up with the following error:

...

ANSWER

Answered 2018-Jun-14 at 16:41

I finally managed to solve this by simply using the pip package.

Source https://stackoverflow.com/questions/50696094

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

Vulnerabilities

No vulnerabilities reported

Install Multicore-TSNE

Make sure cmake is installed on your system, and you will also need a sensible C++ compiler, such as gcc or llvm-clang. On macOS, you can get both via homebrew.

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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