nearest neighbor using bray curtis dissimilarity

Hierarchical clustering algorithms

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

Calculate the cosine distance between arrays

Compute the similarity of two sets

nodecv server side

Node.js binding to OpenCV

Single header file with a bunch of useful statistical functions such as ANOVA, Kruskal-Wallis, T-test, etc; Gerben Voshol (2018).

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 linted fork of Sketchy.js, with minor optimizations

A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package supports multiple Embedding providers (OpenAI, Ollama and HuggingFace Transformers) to generate embeddings for text documents

A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API or Transformer.js models to generate embeddings for text documents and provides functionality for similarit

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

compare the similarity of two or more styledump'ed webpages

Computes the Tversky index between two sequences.

ssimulacra bin-wrapper that makes it seamlessly available as a local dependency