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Machine Learning packages

Showing projects tagged as Machine Learning

  • GoLearn

    9.6 5.5 Go
    General Machine Learning library for Go.

  • Gorgonia

    8.8 6.4 Go
    Gorgonia is a library that helps facilitate machine learning in Go.

  • tfgo

    7.6 4.1 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.

  • goml

    7.6 0.0 Go
    On-line Machine Learning in Go

  • gosseract

    7.2 7.3 Go
    Go package for OCR (Optical Character Recognition), by using Tesseract C++ library.

  • CloudForest

    7.0 0.0 Go
    Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.

  • bayesian

    6.9 1.7 Go
    Naive Bayesian Classification for Golang.

  • gago

    6.6 5.7 Go
    Multi-population, flexible, parallel genetic algorithm.

  • gobrain

    5.9 0.0 Go
    Neural Networks written in go

  • regommend

    5.3 2.1 Go
    Recommendation & collaborative filtering engine

  • go-galib

    5.1 0.0 Go
    Genetic Algorithms library written in Go / golang

  • go-deep

    5.0 2.2 Go
    A feature-rich neural network library in Go.

  • goRecommend

    4.5 0.0 Go
    Recommendation Algorithms library written in Go.

  • shield

    4.5 0.0 Go
    Bayesian text classifier with flexible tokenizers and storage backends for Go

  • go-fann

    4.2 0.0 Go
    Go bindings for Fast Artificial Neural Networks(FANN) library.

  • NEUGO

    3.8 0.0 Go
    NEUGO: Neural Networks in Go

  • goga

    3.7 0.0 Go
    Genetic algorithm library for Go.

  • libsvm

    3.6 0.0 Go
    libsvm golang version derived work based on LIBSVM 3.14.

  • neat

    3.4 2.3 Go
    Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).

  • go-pr

    3.4 0.0 Go
    Pattern recognition package in Go lang.

  • neural-go

    3.1 0.0 Go
    A multilayer perceptron network implemented in Go, with training via backpropagation.

  • EAGO

    2.9 0.0 Go
    EAGO: Evolutionary Algorithms in Go

  • golinear

    2.7 0.5 Go
    liblinear bindings for Go

  • goscore

    2.5 0.6 Go
    Go Scoring API for PMML.

  • Varis

    2.2 2.3 Go
    Golang Neural Network.

  • fonet

    2.2 0.5 Go
    A Deep Neural Network library written in Go.

  • go-cluster

    2.0 0.7 Go
    Go implementation of the k-modes and k-prototypes clustering algorithms.

  • godist

    1.8 0.0 Go
    Various probability distributions, and associated methods.

  • probab

    1.3 0.0 Go
    Probability distribution functions. Bayesian inference. Written in pure Go.

  • mlgo

    0.7 0.0 Go
    This project aims to provide minimalistic machine learning algorithms in Go.