Genetic Algorithms library written in Go / golang

go-galib alternatives and similar packages

Based on the "Machine Learning" category

• GoLearn

  9.7 7.1 go-galib VS GoLearn

  General Machine Learning library for Go.

• Gorgonia

  9.1 8.4 go-galib VS Gorgonia

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

• tfgo

  8.1 4.1 go-galib VS tfgo

  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.

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• gosseract

  8.1 3.2 go-galib VS gosseract

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

• goml

  7.9 0.0 go-galib VS goml

  On-line Machine Learning in Go

• gorse

  7.7 7.0 go-galib VS gorse

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

• CloudForest

  7.4 0.0 go-galib VS CloudForest

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

• bayesian

  7.4 0.0 go-galib VS bayesian

  Naive Bayesian Classification for Golang.

• gago

  7.3 2.1 go-galib VS gago

  Multi-population, flexible, parallel genetic algorithm.

• gobrain

  6.8 0.1 go-galib VS gobrain

  Neural Networks written in go

• ocrserver

  6.4 2.4 go-galib VS ocrserver

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

• regommend

  6.0 0.0 go-galib VS regommend

  Recommendation & collaborative filtering engine

• go-deep

  6.0 1.5 go-galib VS go-deep

  A feature-rich neural network library in Go.

• onnx-go

  5.9 3.4 go-galib VS onnx-go

  Go Interface to Open Neural Network Exchange (ONNX).

• sklearn

  5.8 3.9 go-galib VS sklearn

  partial port of scikit_learn to golang

• goRecommend

  5.2 0.0 go-galib VS goRecommend

  Recommendation Algorithms library written in Go.

• shield

  5.1 0.0 go-galib VS shield

  Bayesian text classifier with flexible tokenizers and storage backends for Go

• Goptuna

  4.8 8.8 go-galib VS Goptuna

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

• go-fann

  4.7 0.0 go-galib VS go-fann

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

• goga

  4.4 0.0 go-galib VS goga

  Genetic algorithm library for Go.

• neat

  4.2 0.0 go-galib VS neat

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

• libsvm

  4.2 0.0 go-galib VS libsvm

  libsvm golang version derived work based on LIBSVM 3.14.

• goscore

  4.0 0.0 go-galib VS goscore

  Go Scoring API for PMML.

• go-pr

  3.9 0.0 go-galib VS go-pr

  Pattern recognition package in Go lang.

• neural-go

  3.9 0.0 go-galib VS neural-go

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

• NEUGO

  3.8 0.0 go-galib VS NEUGO

  NEUGO: Neural Networks in Go

• fonet

  3.2 0.0 go-galib VS fonet

  A Deep Neural Network library written in Go.

• Varis

  3.0 0.0 go-galib VS Varis

  Golang Neural Network.

• EAGO

  2.9 0.0 go-galib VS EAGO

  EAGO: Evolutionary Algorithms in Go

• go-cluster

  2.9 0.0 go-galib VS go-cluster

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

• golinear

  2.7 0.5 go-galib VS golinear

  liblinear bindings for Go

• godist

  2.6 0.0 go-galib VS godist

  Various probability distributions, and associated methods.

• evoli

  2.4 6.0 go-galib VS evoli

  Genetic Algorithm and Particle Swarm Optimization library.

• probab

  1.9 0.0 go-galib VS probab

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

• GoMind

  1.4 0.0 go-galib VS GoMind

  A simplistic Neural Network Library in Go.

• randomforest

  1.1 1.9 go-galib VS randomforest

  Easy to use Random Forest library for Go.

• mlgo

  1.0 0.0 go-galib VS mlgo

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

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Popular Comparisons

• go-galib
  vs
  gago
• go-galib
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  gobrain
• go-galib
  vs
  libsvm
• go-galib
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• go-galib
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  goRecommend