rml-core
Machine Learning Dataset Library
A Racket module for managing machine learning datasets and providing interfaces to various classification algorithms.
Racket Machine Learning
13 stars
1 watching
4 forks
Language: Racket
last commit: 10 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of decision trees for classification in Racket machine learning. | 4 |
| A collection of tools and utilities for machine learning tasks in Racket | 25 |
| A comprehensive R package providing tools and techniques for building machine learning models in supervised learning. | 9 |
| This is a collection of machine learning algorithms implemented in Python 3.6. | 103 |
| A Rust machine learning crate providing algorithms and utilities for building and training machine learning models. | 626 |
| A Julia implementation of popular machine learning algorithms and interfaces. | 547 |
| A Clojure-based machine learning library providing tools for data preprocessing and modeling various algorithms. | 67 |
| A Ruby machine learning library providing interfaces to various algorithms | 788 |
| A lightweight Machine Learning library for JavaScript and Node.js providing easy-to-use APIs for various algorithms. | 541 |
| A machine learning library written in Lisp (Clojure) providing simple implementations of various algorithms and utilities. | 76 |
| A Clojure library for machine learning built on top of Weka and friends | 148 |
| A Clojure library for building machine learning models on top of Weka and other algorithms | 135 |
| Provides a JRuby wrapper around the Weka Java library for machine learning and data mining in Ruby. | 65 |
| A JavaScript library implementing well-known machine learning algorithms in an understandable and modular way for education and research. | 25 |
| An easy-to-use machine learning library with various algorithms for classification and regression tasks. | 281 |