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

9.7 5.7 shield VS GoLearn

General Machine Learning library for Go.
Gorgonia

9.2 8.1 shield VS Gorgonia

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

Scout APM - Leading-edge performance monitoring starting at $39/month

Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.

Sponsored scoutapm.com

tfgo

8.3 5.3 shield VS tfgo

Easy to use Tensorflow bindings: simplifies the usage of the official Tensorflow Go bindings. Define computational graphs in Go, load and execute models trained in Python.
gosseract

8.1 5.7 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
gorse

7.9 8.6 shield VS gorse

A High Performance Recommender System Package based on Collaborative Filtering for Go.
CloudForest

7.4 0.0 shield VS CloudForest

Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
bayesian

7.4 0.0 shield VS bayesian

Naive Bayesian Classification for Golang.
gago

7.3 3.8 shield VS gago

Multi-population, flexible, parallel genetic algorithm.
gobrain

6.8 1.9 shield VS gobrain

Neural Networks written in go
ocrserver

6.6 0.0 shield VS ocrserver

A simple OCR API server, seriously easy to be deployed by Docker and Heroku.
go-deep

6.1 0.0 shield VS go-deep

A feature-rich neural network library in Go.
onnx-go

6.1 1.1 shield VS onnx-go

Go Interface to Open Neural Network Exchange (ONNX).
regommend

6.0 0.0 shield VS regommend

Recommendation & collaborative filtering engine
sklearn

6.0 0.3 shield VS sklearn

partial port of scikit_learn to golang
go-galib

5.7 0.0 shield VS go-galib

Genetic Algorithms library written in Go / golang
goRecommend

5.3 0.0 shield VS goRecommend

Recommendation Algorithms library written in Go.
Goptuna

5.1 8.8 shield VS Goptuna

Bayesian optimization framework for black-box functions written in Go. Everything will be optimized.
go-fann

4.8 0.0 shield VS go-fann

Go bindings for Fast Artificial Neural Networks(FANN) library.
goga

4.5 0.0 shield VS goga

Genetic algorithm library for Go.
neat

4.2 0.0 shield VS neat

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

4.2 0.0 shield VS goscore

Go Scoring API for PMML.
libsvm

4.2 0.0 shield VS libsvm

libsvm golang version derived work based on LIBSVM 3.14.
go-pr

3.9 0.0 shield VS go-pr

Pattern recognition package in Go lang.
neural-go

3.9 0.0 shield VS neural-go

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

3.8 0.0 shield VS NEUGO

NEUGO: Neural Networks in Go
golinear

3.5 0.0 shield VS golinear

liblinear bindings for Go
fonet

3.3 0.0 shield VS fonet

A Deep Neural Network library written in Go.
Varis

3.1 0.0 shield VS Varis

Golang Neural Network.
go-featureprocessing

3.1 5.2 shield VS go-featureprocessing

Fast and convenient feature processing for low latency machine leraning in Go.
go-cluster

2.9 0.0 shield VS go-cluster

Go implementation of the k-modes and k-prototypes clustering algorithms.
EAGO

2.9 0.0 shield VS EAGO

EAGO: Evolutionary Algorithms in Go
godist

2.6 0.0 shield VS godist

Various probability distributions, and associated methods.
evoli

2.5 1.2 shield VS evoli

Genetic Algorithm and Particle Swarm Optimization library.
probab

1.9 0.0 shield VS probab

Probability distribution functions. Bayesian inference. Written in pure Go.
GoMind

1.5 0.0 shield VS GoMind

A simplistic Neural Network Library in Go.
randomforest

1.4 0.0 shield VS randomforest

Easy to use Random Forest library for Go.
mlgo

1.0 0.0 shield VS mlgo

This project aims to provide minimalistic machine learning algorithms in Go.
ddt

0.8 5.8 shield VS ddt

Dynamic decision tree, create trees defining customizable rules.

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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