Showing 5 of 5 projects
Fast Python library for collaborative filtering recommendation algorithms on implicit feedback datasets.
A high-performance machine learning library for Haskell that leverages algebraic structures for parallel, online, and fast cross-validation training.
An embeddable vector database for Go with a Chroma-like interface, enabling RAG and semantic search without external dependencies.
A Go library implementing collaborative filtering algorithms for recommendation systems, including ALS, Bayesian, and similarity-based approaches.
A pure Erlang implementation of the R*-tree data structure for efficient multi-dimensional spatial indexing.
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