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 | |
| 1,537 | 39 | |
| - | - | |
| 0.0 | 2.6 | |
| almost 2 years ago | about 2 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.
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.
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.
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.
- Machine Learning
- GoLang AI/ML open source projects
-
I'm looking for a Go computer vision package that isn't GoCV.
I've been meaning to try GoML and Goro, the latter being based on Gorgonia. No idea how relevant either are to your needs.
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
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.
- Boruta algorithm added to Random Forest library
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.
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
golinear - liblinear bindings for Go
sklearn - bits of sklearn ported to Go #golang
gobrain - Neural Networks written in go
EAGO
go-fann - Go bindings for FANN, library for artificial neural networks
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-galib - Genetic Algorithms library written in Go / golang
CloudForest - Ensembles of decision trees in go/golang.