shield alternatives and similar packages

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

GoLearn

9.6 1.5 shield VS GoLearn

Machine Learning for Go
gorse

9.3 9.2 shield VS gorse

An open source recommender system service written in Go

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Gorgonia

9.2 5.7 shield VS Gorgonia

Gorgonia is a library that helps facilitate machine learning in Go.
m2cgen

8.4 8.0 shield 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 0.8 shield VS tfgo

Tensorflow + Go, the gopher way
gosseract

8.3 3.9 shield VS gosseract

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

7.9 0.0 shield VS goml

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

7.4 0.0 shield VS bayesian

Naive Bayesian Classification for Golang.
gago

7.3 0.3 shield VS gago

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

7.3 0.0 shield VS CloudForest

Ensembles of decision trees in go/golang.
ocrserver

6.9 0.0 shield VS ocrserver

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

6.8 0.0 shield VS gobrain

Neural Networks written in go
envd

6.5 9.5 shield VS envd

🏕️ Development environment for machine learning
onnx-go

6.4 1.2 shield 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 1.6 shield VS go-deep

Artificial Neural Network
sklearn

6.0 0.0 shield VS sklearn

bits of sklearn ported to Go #golang
regommend

6.0 0.0 shield VS regommend

Recommendation engine for Go
go-galib

5.6 0.0 shield VS go-galib

Genetic Algorithms library written in Go / golang
Goptuna

5.4 1.5 shield VS Goptuna

A hyperparameter optimization framework, inspired by Optuna.
goRecommend

5.3 0.0 shield VS goRecommend

Collaborative Filtering (CF) Algorithms in Go!
goga

5.1 0.0 shield VS goga

Golang Genetic Algorithm
go-fann

4.7 0.0 shield VS go-fann

Go bindings for FANN, library for artificial neural networks
goscore

4.4 0.0 shield VS goscore

Go Scoring API for PMML
libsvm

4.3 0.0 shield VS libsvm

libsvm go version
neat

4.2 0.0 shield VS neat

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

4.1 0.0 shield VS fonet

fonet is a deep neural network package for Go.
neural-go

3.9 0.0 shield VS neural-go

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

3.9 0.0 shield VS go-pr

Pattern recognition package in Go lang.
NEUGO

3.8 0.0 shield VS NEUGO

NEUGO: Neural Networks in Go
go-featureprocessing

3.7 3.6 shield VS go-featureprocessing

🔥 Fast, simple sklearn-like feature processing for Go
golinear

3.5 0.0 shield VS golinear

liblinear bindings for Go
Varis

3.4 0.0 shield VS Varis

Golang Neural Network
go-cluster

3.2 0.0 shield VS go-cluster

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

2.9 0.0 shield VS EAGO

EAGO: Evolutionary Algorithms in Go
evoli

2.8 1.9 shield VS evoli

Genetic Algorithm and Particle Swarm Optimization
godist

2.8 0.0 shield VS godist

Probability distributions and associated methods in Go
randomforest

2.4 2.5 shield VS randomforest

Random Forest implementation in golang
GoMind

2.4 0.0 shield VS GoMind

A simplistic Neural Network Library in Go
probab

2.0 0.0 shield VS probab

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

1.6 0.0 shield VS ddt

Golang Dynamic Decision Tree
mlgo

0.9 0.0 shield VS mlgo

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

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Add another 'Machine Learning' Package

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README

Shield is a bayesian text classifier with flexible tokenizer and backend store support

Currently implemented:

Redis backend
English tokenizer

Example

package main

import (
  "github.com/eaigner/shield"
)

func main() {
  sh := shield.New(
    shield.NewEnglishTokenizer(),
    shield.NewRedisStore("127.0.0.1:6379", "", 0),
  )

  sh.Learn("good", "sunshine drugs love sex lobster sloth")
  sh.Learn("bad", "fear death horror government zombie god")

  c, _ := sh.Classify("sloths are so cute i love them")
  if c != "good" {
    panic(c)
  }

  c, _ = sh.Classify("i fear god and love the government")
  if c != "bad" {
    panic(c)
  }
}

shield

Bayesian text classifier with flexible tokenizers and storage backends for Go

shield alternatives and similar packages

Popular Comparisons

README

Example