curiosity-ai/umap-sharp
C# library for fast embeddings projection using Uniform Manifold Approximation and Projection
This is a C# library for developers who need to visualize high-dimensional data or prepare it for other machine learning tasks. It takes an array of numeric vectors (like document embeddings or image features) and outputs a new array where each vector has been reduced to two or three dimensions. This allows for easier plotting and identification of patterns or clusters in complex datasets.
Use this if you are a C# developer working with machine learning projects and need a fast way to reduce the dimensions of your data for visualization or further processing.
Not ideal if you are not a C# developer or if you need a pre-built application for data visualization rather than a programmatic library.
Stars
50
Forks
7
Language
C#
License
MIT
Category
Last pushed
Jan 22, 2026
Commits (30d)
0
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