Go Machine Learning

General Machine Learning library for Go.

Gorgonia is a library that helps facilitate machine learning in Go.

On-line Machine Learning in Go

Easy to use Tensorflow bindings: simplifies the usage of the official Tensorflow Go bindings. Define computational graphs in Go, load and execute models trained in Python.

Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.

Naive Bayesian Classification for Golang.

Go package for OCR (Optical Character Recognition), by using Tesseract C++ library.

Multi-population, flexible, parallel genetic algorithm.

Neural Networks written in go

Recommendation & collaborative filtering engine

Genetic Algorithms library written in Go / golang

A feature-rich neural network library in Go.

Bayesian text classifier with flexible tokenizers and storage backends for Go

Recommendation Algorithms library written in Go.

Go bindings for Fast Artificial Neural Networks(FANN) library.

NEUGO: Neural Networks in Go

libsvm golang version derived work based on LIBSVM 3.14.

Genetic algorithm library for Go.

Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).

Pattern recognition package in Go lang.

A multilayer perceptron network implemented in Go, with training via backpropagation.

EAGO: Evolutionary Algorithms in Go

liblinear bindings for Go

Go Scoring API for PMML.

Golang Neural Network.

A Deep Neural Network library written in Go.

Various probability distributions, and associated methods.

Go implementation of the k-modes and k-prototypes clustering algorithms.

Probability distribution functions. Bayesian inference. Written in pure Go.

This project aims to provide minimalistic machine learning algorithms in Go.