A simple, robust JavaScript machine learning library with regression, classification, clustering, and preprocessing algorithms
AI chatbot based on simple ML.
Simple Linear Regression
Regression algorithms
Matrix manipulation and computation library
Various method to process spectra
Get the minimum value in an array
Get the maximum value in an array
JavaScript implementation of the XORSHIFT-ADD (XSadd) pseudo random number generator
Rescale an array into a range
Generates markdown API documentation from jsdoc annotated source code
Compute the euclidean distance between two vectors
Web Assembly streaming Opus decoder with Machine Learning enhancements
Choose randomly from a selection of elements
K-Means clustering
Find the nearest point to a sample point
Get the average value in an array
Get the average value in an array
Distance and similarity functions to compare vectors
JSON Schema and TypeScript types of markuplint configure JSON
Curve fitting method in javascript
The markuplint AST types.
Multivariate linear regression
Autogenerate READMEs tables and OpenAPI schemas for Helm Charts
Functions required for data analysis and machine learning tasks
A single-threaded simple machine learning.
This is the simple REST client for Firebase ML API V1. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the Firebase ML API, but note that some services may provide a separate modern client that is easier to use.
This is the simple REST client for Firebase ML API V1beta2. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the Firebase ML API, but note that some services may provide a separate modern client that is easier to use.
This is the simple REST client for Firebase ML API V2beta. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the Firebase ML API, but note that some services may provide a separate modern client that is easier to use.
Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.
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