probab alternatives and similar packages

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

• GoLearn

  9.6 0.0 probab VS GoLearn

  Machine Learning for Go
  

• gorse

  9.4 9.0 probab VS gorse

  Gorse open source recommender system engine
  

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• Gorgonia

  9.1 1.1 probab VS Gorgonia

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

• gosseract

  8.5 3.6 probab VS gosseract

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

• m2cgen

  8.4 0.0 probab 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

  8.2 1.5 probab VS tfgo

  Tensorflow + Go, the gopher way
  

• envd

  8.1 8.3 probab VS envd

  🏕️ Reproducible development environment
  

• goml

  7.9 0.0 probab VS goml

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

• bayesian

  7.2 2.3 probab VS bayesian

  Naive Bayesian Classification for Golang.
  

• gago

  7.2 3.6 probab VS gago

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

• ocrserver

  7.0 0.0 probab VS ocrserver

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

• CloudForest

  7.0 0.0 probab VS CloudForest

  Ensembles of decision trees in go/golang.
  

• onnx-go

  6.8 2.3 probab 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 probab VS gobrain

  Neural Networks written in go
  

• go-deep

  6.6 0.0 probab VS go-deep

  Artificial Neural Network
  

• sklearn

  6.0 0.0 probab VS sklearn

  bits of sklearn ported to Go #golang
  

• regommend

  5.7 0.0 probab VS regommend

  Recommendation engine for Go
  

• Goptuna

  5.5 2.0 probab VS Goptuna

  A hyperparameter optimization framework, inspired by Optuna.
  

• go-galib

  5.4 0.0 probab VS go-galib

  Genetic Algorithms library written in Go / golang
  

• goga

  5.3 0.0 probab VS goga

  Golang Genetic Algorithm
  

• goRecommend

  5.2 0.0 probab VS goRecommend

  Collaborative Filtering (CF) Algorithms in Go!
  

• shield

  5.1 0.0 probab VS shield

  Bayesian text classifier with flexible tokenizers and storage backends for Go
  

• go-fann

  4.5 0.0 probab VS go-fann

  Go bindings for FANN, library for artificial neural networks
  

• goscore

  4.4 0.0 probab VS goscore

  Go Scoring API for PMML
  

• neat

  4.2 0.0 probab VS neat

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

• GoMind

  4.1 0.0 probab VS GoMind

  A simplistic Neural Network Library in Go
  

• go-featureprocessing

  4.1 4.5 probab VS go-featureprocessing

  DISCONTINUED. 🔥 Fast, simple sklearn-like feature processing for Go
  

• fonet

  4.0 0.0 probab VS fonet

  fonet is a deep neural network package for Go.
  

• libsvm

  3.9 0.0 probab VS libsvm

  libsvm go version
  

• NEUGO

  3.8 0.0 probab VS NEUGO

  DISCONTINUED. NEUGO: Neural Networks in Go

• go-pr

  3.7 0.0 probab VS go-pr

  Pattern recognition package in Go lang.
  

• neural-go

  3.7 0.0 probab VS neural-go

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

• golinear

  3.4 0.0 probab VS golinear

  DISCONTINUED. liblinear bindings for Go

• randomforest

  3.3 2.6 probab VS randomforest

  Random Forest implementation in golang
  

• Varis

  3.2 0.0 probab VS Varis

  Golang Neural Network
  

• go-cluster

  3.2 0.0 probab VS go-cluster

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

• godist

  2.9 0.0 probab VS godist

  Probability distributions and associated methods in Go
  

• EAGO

  2.9 0.0 probab VS EAGO

  DISCONTINUED. EAGO: Evolutionary Algorithms in Go

• evoli

  2.8 0.0 probab VS evoli

  Genetic Algorithm and Particle Swarm Optimization
  

• ddt

  2.3 0.0 probab VS ddt

  Golang Dynamic Decision Tree
  

• mlgo

  1.0 0.0 probab VS mlgo

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

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