godist VS go-fann

Compare godist vs go-fann and see what are their differences.

godist

Probability distributions and associated methods in Go (by e-dard)
Machine Learning
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go-fann

Go bindings for FANN, library for artificial neural networks (by vksnk)
Machine Learning
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godist go-fann
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36 115
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0.0 0.0
almost 9 years ago about 9 years ago
Go Go
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

godist

Posts with mentions or reviews of godist. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning godist yet.
Tracking mentions began in Dec 2020.

go-fann

Posts with mentions or reviews of go-fann. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning go-fann yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing godist and go-fann you can also consider the following projects:

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

GoLearn - Machine Learning for Go

goga - Golang Genetic Algorithm

go-galib - Genetic Algorithms library written in Go / golang

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

sklearn - bits of sklearn ported to Go #golang

neat

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

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

bayesian - Naive Bayesian Classification for Golang.

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

godist vs goRecommend go-fann vs GoLearn godist vs goga go-fann vs go-galib godist vs goml go-fann vs sklearn godist vs neat go-fann vs gosseract godist vs gago go-fann vs bayesian godist vs m2cgen go-fann vs goml