cl-tsne-umap | repository contains scripts and notebooks to reproduce

by hci-unihd Jupyter Notebook Version: Current License: MIT

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

kandi X-RAY | cl-tsne-umap Summary

cl-tsne-umap is a Jupyter Notebook library. cl-tsne-umap has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repository contains scripts and notebooks to reproduce the experiments in Contrastive learning unifies t-SNE and UMAP. It depends on several other repositories, in particular contrastive-ne, which implement the actual logic and contain utilities.

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Quality

Security

License

Reuse

Support

cl-tsne-umap has a low active ecosystem.

It has 13 star(s) with 0 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. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cl-tsne-umap is current.

Quality

cl-tsne-umap has no bugs reported.

Security

cl-tsne-umap has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cl-tsne-umap 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

cl-tsne-umap 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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cl-tsne-umap Key Features

No Key Features are available at this moment for cl-tsne-umap.

cl-tsne-umap Examples and Code Snippets

No Code Snippets are available at this moment for cl-tsne-umap.

Community Discussions

No Community Discussions are available at this moment for cl-tsne-umap.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install cl-tsne-umap

Create and activate the conda environment. Install openTSNE, vis_utis, umap, ncvis and cne.

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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