GoLearn VS randomforest

Compare GoLearn vs randomforest and see what are their differences.

GoLearn

Machine Learning for Go (by sjwhitworth)

randomforest

Random Forest implementation in golang (by malaschitz)
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GoLearn randomforest
3 2
8,908 30
- -
0.0 0.0
3 months ago 11 months 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.
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GoLearn

Posts with mentions or reviews of GoLearn. 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 GoLearn and randomforest you can also consider the following projects:

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

sklearn - bits of sklearn ported to Go #golang

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

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

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

regommend - Recommendation engine for Go

tfgo - Tensorflow + Go, the gopher way

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

bayesian - Naive Bayesian Classification for Golang.

golinear - liblinear bindings for Go

go-deep - Artificial Neural Network