go-featureprocessing alternatives and similar packages

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

• GoLearn

  9.7 3.1 go-featureprocessing VS GoLearn

  Machine Learning for Go

• Gorgonia

  9.2 5.6 go-featureprocessing VS Gorgonia

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

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• gorse

  9.2 9.5 go-featureprocessing VS gorse

  An open source recommender system service written in Go

• m2cgen

  8.4 8.5 go-featureprocessing 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 5.0 go-featureprocessing VS tfgo

  Tensorflow + Go, the gopher way

• gosseract

  8.2 5.6 go-featureprocessing VS gosseract

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

• goml

  7.9 1.0 go-featureprocessing VS goml

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

• bayesian

  7.4 0.0 go-featureprocessing VS bayesian

  Naive Bayesian Classification for Golang.

• gago

  7.3 2.6 go-featureprocessing VS gago

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

• CloudForest

  7.3 0.0 go-featureprocessing VS CloudForest

  Ensembles of decision trees in go/golang.

• gobrain

  6.8 0.8 go-featureprocessing VS gobrain

  Neural Networks written in go
  

• ocrserver

  6.8 3.2 go-featureprocessing VS ocrserver

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

• onnx-go

  6.2 0.0 go-featureprocessing VS onnx-go

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

• go-deep

  6.2 0.0 go-featureprocessing VS go-deep

  Artificial Neural Network

• regommend

  6.0 0.0 go-featureprocessing VS regommend

  Recommendation engine for Go

• sklearn

  6.0 0.0 go-featureprocessing VS sklearn

  bits of sklearn ported to Go #golang

• go-galib

  5.7 0.0 go-featureprocessing VS go-galib

  Genetic Algorithms library written in Go / golang

• goRecommend

  5.3 0.0 go-featureprocessing VS goRecommend

  Collaborative Filtering (CF) Algorithms in Go!

• Goptuna

  5.2 7.4 go-featureprocessing VS Goptuna

  A hyperparameter optimization framework, inspired by Optuna.

• shield

  5.2 0.0 go-featureprocessing VS shield

  Bayesian text classifier with flexible tokenizers and storage backends for Go

• go-fann

  4.7 0.0 go-featureprocessing VS go-fann

  Go bindings for FANN, library for artificial neural networks

• goga

  4.6 0.0 go-featureprocessing VS goga

  Golang Genetic Algorithm

• goscore

  4.3 0.0 go-featureprocessing VS goscore

  Go Scoring API for PMML

• neat

  4.2 0.0 go-featureprocessing VS neat

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

• libsvm

  4.2 0.0 go-featureprocessing VS libsvm

  libsvm go version

• neural-go

  3.9 0.0 go-featureprocessing VS neural-go

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

• go-pr

  3.9 0.0 go-featureprocessing VS go-pr

  Pattern recognition package in Go lang.

• NEUGO

  3.8 0.0 go-featureprocessing VS NEUGO

  NEUGO: Neural Networks in Go

• fonet

  3.6 4.3 go-featureprocessing VS fonet

  fonet is a deep neural network package for Go.

• golinear

  3.5 0.0 go-featureprocessing VS golinear

  liblinear bindings for Go

• Varis

  3.3 0.0 go-featureprocessing VS Varis

  Golang Neural Network

• go-cluster

  3.1 0.0 go-featureprocessing VS go-cluster

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

• EAGO

  2.9 0.0 go-featureprocessing VS EAGO

  EAGO: Evolutionary Algorithms in Go

• godist

  2.8 0.0 go-featureprocessing VS godist

  Probability distributions and associated methods in Go

• evoli

  2.6 1.7 go-featureprocessing VS evoli

  Genetic Algorithm and Particle Swarm Optimization

• randomforest

  2.1 4.4 go-featureprocessing VS randomforest

  Random Forest implementation in golang

• GoMind

  2.0 0.0 go-featureprocessing VS GoMind

  A simplistic Neural Network Library in Go

• probab

  2.0 0.0 go-featureprocessing VS probab

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

• ddt

  1.6 3.9 go-featureprocessing VS ddt

  Golang Dynamic Decision Tree

• mlgo

  0.9 0.0 go-featureprocessing VS mlgo

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

Do you think we are missing an alternative of go-featureprocessing or a related project?

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Popular Comparisons

• Gorgonia
  vs
  GoLearn
• GoLearn
  vs
  goml
• neural-go
  vs
  GoLearn
• Gorgonia
  vs
  goml
• regommend
  vs
  GoLearn

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