goml VS randomforest

Compare goml vs randomforest and see what are their differences.

goml

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

randomforest

Random Forest implementation in golang (by malaschitz)
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goml randomforest
3 2
1,528 39
- -
0.0 0.0
over 1 year ago over 1 year ago
Go Go
MIT License Apache License 2.0
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.
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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.

goml

Posts with mentions or reviews of goml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

randomforest

Posts with mentions or reviews of randomforest. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.
  • Machine Learning
    8 projects | /r/golang | 6 Feb 2023
    I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.

What are some alternatives?

When comparing goml and randomforest you can also consider the following projects:

GoLearn - Machine Learning for Go

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

gobrain - Neural Networks written in go

golinear - liblinear bindings for Go

go-fann - Go bindings for FANN, library for artificial neural networks

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

sklearn - bits of sklearn ported to Go #golang

godist - Probability distributions and associated methods in Go

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

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

goga - Golang Genetic Algorithm