Showing 1-7 of 7 projects
UMAP is a dimension reduction library that can be used for visualization, exploration, and analysis of high-dimensional datasets.
A flexible and powerful parameter server for large-scale machine learning models and distributed training.
A high-performance, auto-diff neural network library for 3D and 4D sparse tensor computations.
HiPlot is a TypeScript library that makes understanding high-dimensional data easy for developers.
A Python toolbox for gaining geometric insights into high-dimensional data, useful for vibe coders working with AI tools.
A highly scalable distributed vector search engine for high-dimensional data and AI applications.
Nearest neighbor search library for high-dimensional data, useful for AI/ML applications.
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