Node.js wrapper of scikit-learn

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Scikit-Learn for JS

A scikit-learn-inspired machine learning library for Bun/TypeScript.

scikit-learn is a module for machine learning

node wrapper for python's scikit-learn

High-performance TypeScript clustering algorithms (K-Means, Spectral, Agglomerative) with TensorFlow.js acceleration and scikit-learn compatibility

Scikit-Learn inspired traditional machine learning toolkit

n8n nodes for scikit-learn machine learning algorithms

TypeScript definitions for scikit-build.

Machine learning library for JavaScript and TypeScript with a scikit-learn-style API: classification, regression, clustering, dimensionality reduction, and anomaly detection in the browser and Node.js.

Transform features by scaling each feature to a given range. References from scikit-learn

Comprehensive Machine Learning plugin with 10 specialist agents: TensorFlow/Keras, PyTorch, RL, Scikit-learn, Neural Architecture, Gradient Boosting, Computer Vision, NLP Transformers, Time Series, and AutoML. Context7-verified patterns.

TypeScript definitions for partial-scikit-build.

Run scikit-learn models in TypeScript. Zero dependencies.

HDBSCAN clustering in Rust/WASM — ported from scikit-learn, optimized for 2D Euclidean distance

Machine Learning Scikit-Learn

Machine Learning Scikit-Learn

A scientific toolkit written in Typescript

Use Python's #1 machine learning library from Node.js