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180 packages found
The structural similarity (SSIM) index is a method for measuring the similarity between two images. The SSIM index is a full reference metric; in other words, the measuring of image quality based on an initial uncompressed or distortion-free image as reference. SSIM is designed to improve on traditional methods like peak signal-to-noise ratio (PSNR) and mean squared error (MSE), which have proven to be inconsistent with human eye perception.
Measure how similar two strings are using the Sørensen–Dice Coefficient
- closest
- coefficient
- compare
- comparison
- Dice
- difference
- index
- Levenshtein
- match
- matching
- measure
- nearest
- similar
- similarity
- View more
Modded version of string-similarity.
Text diff algorithm based on 'An O(NP) Sequence Comparison Algorithm' from Sun Wu, Udi Manber and Gene Myers
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses Transformers.js to generate embeddings for text documents and provides functionality for similarity search, filtering, a
- vector
- semantic
- store
- storage
- database
- db
- local
- localstorage
- browser
- embeddings
- text
- search
- similarity
- transformers
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- @blueyuval/is-equal
- is equal
- is_equal
- isEqual
- areEqual
- equality
- is-equal
- are-equal
- equal
- compare
- comparison
- comparing
- similarity
- similarity-comparing
Get the structural similarity between two images.
Compare two gl-fbo instances' contents for matching pixels.
Computes the Minkowski distance between two arrays.
- compute.io
- compute
- computation
- distance
- similarity
- information theory
- mathematics
- math
- array
- dist
- difference
- minkowski
- metric
- vector
- View more
calculate jaccard index for two sorted streams of data
compute and verify string similarity
A collection of string matching algorithms built with React Select in mind
- distance
- filter
- fuzzy
- Jaro-Winkler
- Levenshtein
- match
- options
- proximity
- search
- similar
- similarity
- string
- subsequence
- substitutions
- View more
Programmatically create text comparisons, powered by Demo Macro.
Simply sort by similarity, starring Levenshtein via leven
- sort
- leven
- levenshtein
- distance
- algorithm
- algo
- string
- difference
- diff
- fast
- fuzzy
- similar
- similarity
- compare
- View more
Find the Sørensen–Dice coefficient of two arrays
Find the minimal edit path between two generic arrays.
Locality-Sensitive Hashing implementation in node.js for fast and scalable approximate nearest neighbors search
ssimulacra-bin wrapper that makes it seamlessly available as a local dependency
Finds degree of similarity between strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.
- strings
- similar
- difference
- similarity
- compare
- comparison
- degree
- match
- matching
- dice
- levenshtein
- percentage
- score
- algorithm
- View more