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Nearest Neighbors and Vector Similarity

Description

Nearest Neighbors is a simple yet effective machine learning algorithm that looks at the closest datapoints in a multidimensional space. Nearest Neighbors algorithms are implemented on top of a vector similarity algorithm, which compares vectors and computes a similarity score for ranking purposes. Approximate Nearest Neighbors approximates this algorithm for very large data sets.

Projects

2

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 Lines Committed vs. Age Chart (click to view)

Projects

Project

Size Score

Trend Score

Byline

Annoy

3.25

2.75

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Faiss

6.0

6.25

Faiss is a library for efficient similarity search and clustering of dense vectors.