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Machine Learning packages

Showing projects tagged as Machine Learning

  • GoLearn

    9.6 5.4 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

    7.7 5.7 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 1.3 Go
    On-line Machine Learning in Go
  • gosseract

    7.3 6.6 Go
    Go package for OCR (Optical Character Recognition), by using Tesseract C++ library.
  • CloudForest

    6.9 0.0 Go
    Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
  • bayesian

    6.9 1.0 Go
    Naive Bayesian Classification for Golang.
  • gago

    6.7 4.9 Go
    Multi-population, flexible, parallel genetic algorithm.
  • gobrain

    6.1 4.9 Go
    Neural Networks written in go
  • regommend

    5.3 2.1 Go
    Recommendation & collaborative filtering engine
  • go-deep

    5.1 0.4 Go
    A feature-rich neural network library in Go.
  • go-galib

    5.1 0.0 Go
    Genetic Algorithms library written in Go / golang
  • sklearn

    4.6 8.2 Go
    partial port of scikit_learn to golang
  • goRecommend

    4.5 0.0 Go
    Recommendation Algorithms library written in Go.
  • shield

    4.4 0.0 Go
    Bayesian text classifier with flexible tokenizers and storage backends for Go
  • go-fann

    4.1 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

    3.5 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

    3.3 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

    2.6 3.8 Go
    Go Scoring API for PMML.
  • fonet

    2.5 2.7 Go
    A Deep Neural Network library written in Go.
  • Varis

    2.3 0.6 Go
    Golang Neural Network.
  • go-cluster

    2.1 0.1 Go
    Go implementation of the k-modes and k-prototypes clustering algorithms.
  • godist

    2.0 0.0 Go
    Various probability distributions, and associated methods.
  • probab

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