randomforest
Random Forest implementation in golang (by malaschitz)
onnx-go
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library. (by owulveryck)
| randomforest | onnx-go | |
|---|---|---|
| 2 | 3 | |
| 46 | 648 | |
| - | - | |
| 2.6 | 2.3 | |
| 7 months ago | 4 months ago | |
| Go | Go | |
| Apache License 2.0 | 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.
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.
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
onnx-go
Posts with mentions or reviews of onnx-go.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-23.
- Why isn’t Go used in AI/ML?
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Pre-trained object detection machine learning module for Golang? 🤔
You could always use something like https://github.com/owulveryck/onnx-go
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I need help deploying NLP model
If you can get a trained copy of the model in ONNX format, you can use https://github.com/owulveryck/onnx-go to work with it in Go
What are some alternatives?
When comparing randomforest and onnx-go 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
sklearn - bits of sklearn ported to Go #golang
NEUGO
goml - On-line Machine Learning in Go (and so much more)
go-onnxruntime - Unofficial C binding for Onnxruntime in Golang.
EAGO
go-pr - Pattern recognition package in Go lang.
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
goRecommend - Collaborative Filtering (CF) Algorithms in Go!