chaddy1004/tSNE-helper

code to help with tsne plotting

27
/ 100
Experimental

This tool helps machine learning engineers and researchers quickly visualize high-dimensional data, like image features or text embeddings, in a lower-dimensional space. It takes your existing data and its learned representations, then outputs interactive visualizations in Tensorboard or static t-SNE plots. This allows you to visually inspect relationships, clusters, or anomalies in your complex datasets.

No commits in the last 6 months.

Use this if you are a machine learning practitioner struggling to understand and interpret complex, high-dimensional data through intuitive visualizations.

Not ideal if you need a general-purpose data visualization library or are not working with machine learning model embeddings.

machine-learning data-visualization embedding-analysis model-interpretability dimensionality-reduction
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 13 / 25

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Stars

16

Forks

3

Language

Python

License

Last pushed

May 19, 2020

Commits (30d)

0

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