10

8

6

4

2


9.7

2.9
GoLearn

8.8

6.7
Gorgonia

8.2

6.5
tfgo

7.9
0.0
goml

7.9

5.4
gosseract

7.7

8.1
gorse

38 Machine Learning packages and projects

  • GoLearn

    9.7 2.9 Go
    General Machine Learning library for Go.

  • Gorgonia

    8.8 6.7 Go
    Gorgonia is a library that helps facilitate machine learning in Go.

  • tfgo

    8.2 6.5 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

    7.9 0.0 Go
    On-line Machine Learning in Go

  • gosseract

    7.9 5.4 Go
    Go package for OCR (Optical Character Recognition), by using Tesseract C++ library.

  • gorse

    7.7 8.1 Go
    A High Performance Recommender System Package based on Collaborative Filtering for Go.

  • bayesian

    7.3 0.0 Go
    Naive Bayesian Classification for Golang.

  • CloudForest

    7.3 0.0 Go
    Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.

  • gago

    7.2 5.1 Go
    Multi-population, flexible, parallel genetic algorithm.

  • gobrain

    6.8 0.8 Go
    Neural Networks written in go

  • ocrserver

    6.2 0.0 Go
    A simple OCR API server, seriously easy to be deployed by Docker and Heroku.

  • regommend

    5.9 1.2 Go
    Recommendation & collaborative filtering engine

  • go-deep

    5.9 3.1 Go
    A feature-rich neural network library in Go.

  • onnx-go

    5.8 7.7 Go
    Go Interface to Open Neural Network Exchange (ONNX).

  • go-galib

    5.7 0.0 Go
    Genetic Algorithms library written in Go / golang

  • sklearn

    5.6 5.7 Go
    partial port of scikit_learn to golang

  • goRecommend

    5.2 0.0 Go
    Recommendation Algorithms library written in Go.

  • shield

    5.1 0.0 Go
    Bayesian text classifier with flexible tokenizers and storage backends for Go

  • go-fann

    4.8 0.0 Go
    Go bindings for Fast Artificial Neural Networks(FANN) library.

  • Goptuna

    4.5 8.9 Go
    Bayesian optimization framework for black-box functions written in Go. Everything will be optimized.

  • goga

    4.3 0.0 Go
    Genetic algorithm library for Go.

  • libsvm

    4.1 0.0 Go
    libsvm golang version derived work based on LIBSVM 3.14.

  • go-pr

    3.9 0.0 Go
    Pattern recognition package in Go lang.

  • NEUGO

    3.8 0.0 Go
    NEUGO: Neural Networks in Go

  • neural-go

    3.8 0.0 Go
    A multilayer perceptron network implemented in Go, with training via backpropagation.

  • goscore

    3.7 1.1 Go
    Go Scoring API for PMML.

  • neat

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

  • fonet

    3.1 1.7 Go
    A Deep Neural Network library written in Go.

  • Varis

    3.0 0.0 Go
    Golang Neural Network.

  • EAGO

    2.9 0.0 Go
    EAGO: Evolutionary Algorithms in Go

  • golinear

    2.7 0.5 Go
    liblinear bindings for Go

  • go-cluster

    2.7 0.0 Go
    Go implementation of the k-modes and k-prototypes clustering algorithms.

  • godist

    2.6 0.0 Go
    Various probability distributions, and associated methods.

  • evoli

    1.9 6.7 Go
    Genetic Algorithm and Particle Swarm Optimization library.

  • probab

    1.8 0.0 Go
    Probability distribution functions. Bayesian inference. Written in pure Go.

  • GoMind

    1.3 0.0 Go
    A simplistic Neural Network Library in Go.

  • mlgo

    1.1 0.0 Go
    This project aims to provide minimalistic machine learning algorithms in Go.

  • randomforest

    0.5 3.4 Go
    Easy to use Random Forest library for Go.

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