neural-go alternatives and similar packages

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

GoLearn

9.6 0.0 neural-go VS GoLearn

Machine Learning for Go
gorse

9.3 8.9 neural-go VS gorse

An open source recommender system service written in Go

Delete the most useless function ever: context switching.

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Gorgonia

9.2 5.1 neural-go VS Gorgonia

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

8.4 7.2 neural-go 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 4.3 neural-go VS tfgo

Tensorflow + Go, the gopher way
gosseract

8.3 1.8 neural-go VS gosseract

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

8.0 0.0 neural-go VS goml

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

7.7 9.8 neural-go VS envd

🏕️ Reproducible development environment for Python, R and Julia
gago

7.3 0.5 neural-go VS gago

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

7.3 0.0 neural-go VS bayesian

Naive Bayesian Classification for Golang.
CloudForest

7.2 0.0 neural-go VS CloudForest

Ensembles of decision trees in go/golang.
ocrserver

7.0 0.0 neural-go VS ocrserver

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

6.8 0.0 neural-go VS gobrain

Neural Networks written in go
onnx-go

6.5 0.0 neural-go 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 1.0 neural-go VS go-deep

Artificial Neural Network
sklearn

6.1 0.0 neural-go VS sklearn

bits of sklearn ported to Go #golang
regommend

6.0 0.0 neural-go VS regommend

Recommendation engine for Go
go-galib

5.6 0.0 neural-go VS go-galib

Genetic Algorithms library written in Go / golang
Goptuna

5.4 2.2 neural-go VS Goptuna

A hyperparameter optimization framework, inspired by Optuna.
goRecommend

5.3 0.0 neural-go VS goRecommend

Collaborative Filtering (CF) Algorithms in Go!
goga

5.2 0.0 neural-go VS goga

Golang Genetic Algorithm
shield

5.2 0.0 neural-go VS shield

Bayesian text classifier with flexible tokenizers and storage backends for Go
go-fann

4.7 0.0 neural-go VS go-fann

Go bindings for FANN, library for artificial neural networks
goscore

4.5 0.0 neural-go VS goscore

Go Scoring API for PMML
neat

4.2 0.0 neural-go VS neat

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

4.2 0.0 neural-go VS libsvm

libsvm go version
fonet

4.0 0.0 neural-go VS fonet

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

3.9 3.1 neural-go VS go-featureprocessing

🔥 Fast, simple sklearn-like feature processing for Go
go-pr

3.9 0.0 neural-go VS go-pr

Pattern recognition package in Go lang.
NEUGO

3.8 0.0 neural-go VS NEUGO

NEUGO: Neural Networks in Go
Varis

3.5 0.0 neural-go VS Varis

Golang Neural Network
golinear

3.5 0.0 neural-go VS golinear

liblinear bindings for Go
go-cluster

3.2 0.0 neural-go VS go-cluster

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

3.1 0.0 neural-go VS GoMind

A simplistic Neural Network Library in Go
evoli

2.9 0.0 neural-go VS evoli

Genetic Algorithm and Particle Swarm Optimization
EAGO

2.9 0.0 neural-go VS EAGO

EAGO: Evolutionary Algorithms in Go
godist

2.8 0.0 neural-go VS godist

Probability distributions and associated methods in Go
randomforest

2.6 0.0 neural-go VS randomforest

Random Forest implementation in golang
probab

2.1 0.0 neural-go VS probab

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

1.9 0.0 neural-go VS ddt

Golang Dynamic Decision Tree
mlgo

0.9 0.0 neural-go VS mlgo

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

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README

Neural Go

I'm in the process of making significant changes to this package, particularly, to make it more modular, and to base it around an actual linear algebra library for Go.

If you want the original version of this library, check out the v0.1 tag.

SDE

2013/10/08