You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The Levenshtein distance algorithm calculates the minimum number of operations required to transform one string into another. The operations can be insertion, deletion, or substitution of a single character. The higher the Levenshtein distance between two strings, the more different they are.
Less-wrong single-file Numba-accelerated Python implementation of Gotoh affine gap penalty extensions for the Needleman–Wunsch, Smith-Waterman, and Levenshtein algorithms for sequence alignment
Python scripts used to calculate 3 basic similarity measures, suitable for ad hoc information retrieval systems: Levenshtein Edit Distance, Jaccard, and a Term-Document matrix.
Created modified Levenshtein distance algorithms, to match strings by deletion and capitalization only and does not allow replacement or insertion of characters