NEUGO alternatives and similar packages

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

• GoLearn

  9.6 0.5 NEUGO VS GoLearn

  Machine Learning for Go

• gorse

  9.3 9.1 NEUGO VS gorse

  An open source recommender system service written in Go
  

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• Gorgonia

  9.2 5.3 NEUGO VS Gorgonia

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

• m2cgen

  8.4 7.6 NEUGO 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 4.1 NEUGO VS tfgo

  Tensorflow + Go, the gopher way

• gosseract

  8.3 3.1 NEUGO VS gosseract

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

• goml

  8.0 0.0 NEUGO VS goml

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

• envd

  7.5 9.8 NEUGO VS envd

  🏕️ Development environment for AI/ML, based on buildkit
  

• bayesian

  7.4 0.0 NEUGO VS bayesian

  Naive Bayesian Classification for Golang.

• gago

  7.3 0.5 NEUGO VS gago

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

• CloudForest

  7.2 0.0 NEUGO VS CloudForest

  Ensembles of decision trees in go/golang.

• ocrserver

  7.0 0.0 NEUGO VS ocrserver

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

• gobrain

  6.8 0.0 NEUGO VS gobrain

  Neural Networks written in go
  

• onnx-go

  6.5 0.5 NEUGO 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

  6.4 1.3 NEUGO VS go-deep

  Artificial Neural Network

• sklearn

  6.1 0.0 NEUGO VS sklearn

  bits of sklearn ported to Go #golang

• regommend

  6.0 0.0 NEUGO VS regommend

  Recommendation engine for Go

• go-galib

  5.6 0.0 NEUGO VS go-galib

  Genetic Algorithms library written in Go / golang

• Goptuna

  5.4 2.6 NEUGO VS Goptuna

  A hyperparameter optimization framework, inspired by Optuna.

• goRecommend

  5.3 0.0 NEUGO VS goRecommend

  Collaborative Filtering (CF) Algorithms in Go!

• goga

  5.2 0.0 NEUGO VS goga

  Golang Genetic Algorithm

• shield

  5.2 0.0 NEUGO VS shield

  Bayesian text classifier with flexible tokenizers and storage backends for Go

• go-fann

  4.8 0.0 NEUGO VS go-fann

  Go bindings for FANN, library for artificial neural networks

• goscore

  4.5 0.0 NEUGO VS goscore

  Go Scoring API for PMML

• neat

  4.2 0.0 NEUGO VS neat

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

• libsvm

  4.2 0.0 NEUGO VS libsvm

  libsvm go version

• fonet

  4.0 0.0 NEUGO VS fonet

  fonet is a deep neural network package for Go.

• neural-go

  3.9 0.0 NEUGO VS neural-go

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

• go-pr

  3.9 0.0 NEUGO VS go-pr

  Pattern recognition package in Go lang.

• go-featureprocessing

  3.7 3.2 NEUGO VS go-featureprocessing

  🔥 Fast, simple sklearn-like feature processing for Go

• Varis

  3.5 0.0 NEUGO VS Varis

  Golang Neural Network

• golinear

  3.5 0.0 NEUGO VS golinear

  liblinear bindings for Go

• go-cluster

  3.2 0.0 NEUGO VS go-cluster

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

• GoMind

  3.0 0.0 NEUGO VS GoMind

  A simplistic Neural Network Library in Go

• evoli

  2.9 0.8 NEUGO VS evoli

  Genetic Algorithm and Particle Swarm Optimization

• EAGO

  2.9 0.0 NEUGO VS EAGO

  EAGO: Evolutionary Algorithms in Go

• godist

  2.8 0.0 NEUGO VS godist

  Probability distributions and associated methods in Go

• randomforest

  2.6 0.5 NEUGO VS randomforest

  Random Forest implementation in golang

• probab

  2.0 0.0 NEUGO VS probab

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

• ddt

  1.8 0.0 NEUGO VS ddt

  Golang Dynamic Decision Tree

• mlgo

  0.9 0.0 NEUGO VS mlgo

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

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