EAGO alternatives and similar packages

Based on the "Machine Learning" category.
Alternatively, view EAGO alternatives based on common mentions on social networks and blogs.

• GoLearn

  9.6 0.0 EAGO VS GoLearn

  Machine Learning for Go

• gorse

  9.4 7.2 EAGO VS gorse

  Gorse open source recommender system engine
  

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• Gorgonia

  9.1 1.1 EAGO VS Gorgonia

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

• gosseract

  8.5 7.0 EAGO VS gosseract

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

• m2cgen

  8.4 0.0 EAGO VS m2cgen

  Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
  

• tfgo

  8.3 1.5 EAGO VS tfgo

  Tensorflow + Go, the gopher way

• envd

  8.0 6.9 EAGO VS envd

  🏕️ Reproducible development environment
  

• goml

  7.9 0.0 EAGO VS goml

  On-line Machine Learning in Go (and so much more)

• bayesian

  7.2 2.3 EAGO VS bayesian

  Naive Bayesian Classification for Golang.

• gago

  7.2 3.3 EAGO VS gago

  :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

• CloudForest

  7.1 0.0 EAGO VS CloudForest

  Ensembles of decision trees in go/golang.

• ocrserver

  7.0 0.0 EAGO VS ocrserver

  A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well

• onnx-go

  6.8 2.3 EAGO VS onnx-go

  DISCONTINUED. onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

• gobrain

  6.6 0.0 EAGO VS gobrain

  Neural Networks written in go
  

• go-deep

  6.6 0.0 EAGO VS go-deep

  Artificial Neural Network

• sklearn

  6.0 0.0 EAGO VS sklearn

  bits of sklearn ported to Go #golang

• regommend

  5.8 0.0 EAGO VS regommend

  Recommendation engine for Go

• Goptuna

  5.5 2.0 EAGO VS Goptuna

  A hyperparameter optimization framework, inspired by Optuna.

• go-galib

  5.4 0.0 EAGO VS go-galib

  Genetic Algorithms library written in Go / golang

• goga

  5.3 0.0 EAGO VS goga

  Golang Genetic Algorithm

• goRecommend

  5.2 0.0 EAGO VS goRecommend

  Collaborative Filtering (CF) Algorithms in Go!

• shield

  5.1 0.0 EAGO VS shield

  Bayesian text classifier with flexible tokenizers and storage backends for Go

• go-fann

  4.6 0.0 EAGO VS go-fann

  Go bindings for FANN, library for artificial neural networks

• goscore

  4.4 0.0 EAGO VS goscore

  Go Scoring API for PMML

• neat

  4.2 0.0 EAGO VS neat

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

• go-featureprocessing

  4.2 4.5 EAGO VS go-featureprocessing

  🔥 Fast, simple sklearn-like feature processing for Go

• fonet

  4.0 0.0 EAGO VS fonet

  fonet is a deep neural network package for Go.

• libsvm

  3.9 0.0 EAGO VS libsvm

  libsvm go version

• GoMind

  3.9 0.0 EAGO VS GoMind

  A simplistic Neural Network Library in Go

• NEUGO

  3.8 0.0 EAGO VS NEUGO

  DISCONTINUED. NEUGO: Neural Networks in Go

• go-pr

  3.8 0.0 EAGO VS go-pr

  Pattern recognition package in Go lang.

• neural-go

  3.7 0.0 EAGO VS neural-go

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

• Varis

  3.4 0.0 EAGO VS Varis

  Golang Neural Network

• golinear

  3.4 0.0 EAGO VS golinear

  DISCONTINUED. liblinear bindings for Go

• go-cluster

  3.3 0.0 EAGO VS go-cluster

  k-modes and k-prototypes clustering algorithms implementation in Go
  

• randomforest

  3.1 2.6 EAGO VS randomforest

  Random Forest implementation in golang

• evoli

  2.8 0.0 EAGO VS evoli

  Genetic Algorithm and Particle Swarm Optimization

• godist

  2.8 0.0 EAGO VS godist

  Probability distributions and associated methods in Go

• ddt

  2.3 0.0 EAGO VS ddt

  Golang Dynamic Decision Tree

• probab

  1.9 0.0 EAGO VS probab

  Automatically exported from code.google.com/p/probab

• mlgo

  1.1 0.0 EAGO VS mlgo

  Automatically exported from code.google.com/p/mlgo

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