Repository Index

A simple and functional machine learning library for the Erlang ecosystem

• elixir
• machine-learning
• functional-programming
• erlang

Go Scoring API for PMML

• golang
• pmml
• random-forest
• classification

k-means clustering in Ruby

• kmeans-clustering
• clustering
• ruby
• rubyml

Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

• lda
• multilingual
• machine-learning
• latent-dirichlet-allocation

A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.

• machine-learning
• lisp
• clojure

libsvm go version

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

• svm
• regression
• classification
• machine-learning

Ruby Scoring API for PMML

• ruby-gem
• pmml
• random-forest
• classification

Machine Learning in Clojure

Random Forest implementation in golang

Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.

• parallel
• data-science
• data-visualization
• pandas

Gaussian processes and Bayesian optimization for images and hyperspectral data

• image-processing
• hyperspectral-images
• gaussian-processes
• bayesian-optimization

Simple Naive Bayes classifier

k-modes and k-prototypes clustering algorithms implementation in Go

• golang
• go
• machine-learning
• cluster

A redis-backed Bayesian classifier

Simple K Nearest Neighbour Algorithm