Node.js wrapper of scikit-learn

Scikit-Learn for JS

scikit-learn is a module for machine learning

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

Scikit-Learn inspired traditional machine learning toolkit

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

node wrapper for python's scikit-learn

n8n nodes for scikit-learn machine learning algorithms

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

Run scikit-learn models in TypeScript. Zero dependencies.

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.

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

Machine Learning Scikit-Learn

Machine Learning Scikit-Learn

This package provides utilities for training and deploying machine learning models on AWS SageMaker. It supports multiple ML frameworks including PyTorch, TensorFlow, XGBoost, Scikit-learn, and HuggingFace.

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

Hdbscan implementation in JavaScript

t-SNE implementation in JavaScript

A set of utils for faster development of GraphQL tools