Cross Validation

GoLearnGo

A batteries-included machine learning library for Go with a scikit-learn inspired interface.

HLearnHaskell

A high-performance machine learning library for Haskell that leverages algebraic structures for parallel, online, and fast cross-validation training.

machine-learning-samplesPython

Sample applications demonstrating how to use AWS Amazon Machine Learning for targeted marketing, social media filtering, and mobile predictions.

vecstackPython

A Python package for stacking (stacked generalization) with both functional and scikit-learn compatible APIs.

MGLCommon Lisp

A Common Lisp machine learning library focusing on neural networks, Boltzmann machines, and Gaussian processes with BLAS and CUDA support.

rustlearnRust

A Rust crate providing efficient implementations of common machine learning algorithms with support for dense and sparse data.

ScikitLearnJulia

A Julia implementation of the scikit-learn API, providing a uniform interface for machine learning models from both Julia and Python ecosystems.

ConjectureJava

A framework for building scalable machine learning models in Hadoop using the Scalding DSL.

SuperLearnerR

An R package for automatic optimal predictor ensembling via cross-validation with dozens of machine learning algorithms.

scicloj.mlClojure

An idiomatic Clojure machine learning library providing a unified interface for classification, regression, and unsupervised models.

MLBaseJulia

A Swiss knife collection of utility functions for developing and evaluating machine learning algorithms in Julia.

open-solution-value-predictionPython

An open-source machine learning solution for the Santander Value Prediction Challenge on Kaggle.