spaGO
randomforest
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| spaGO | randomforest | |
|---|---|---|
| 11 | 2 | |
| 1,693 | 39 | |
| - | - | |
| 0.0 | 2.6 | |
| 4 months ago | 2 months ago | |
| Go | Go | |
| BSD 2-clause "Simplified" License | Apache License 2.0 |
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spaGO
- Machine Learning
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ml for text
Take a look into https://github.com/nlpodyssey/spago. If you don't need GPU processing it could fit your needs
- SpaGO: A ML library in pure Go
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Why can't Go be popular for machine learning?
CGO? Too much overhead in calling C functions (in which you can wrap libtorch or TF C++ code). And too much struggling woth CUDA (actually all GPU stuff). But, there are interesting attempts: https://github.com/gorgonia/gorgonia (I love it most), https://github.com/sugarme/gotch (bindings to libtorch), https://github.com/nlpodyssey/spago.
- Run Hugging Face Models in Go
- Self-Contained Machine Learning and Natural Language Processing Library in Go
- Spice.ai – open-source, time series AI for developers
- Show HN: Experiments on Machine Translation in Pure Go
- Experiments on Machine Translation in pure Go!
randomforest
-
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?
go-nlp
GoLearn - Machine Learning for Go
prose - :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.
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
universal-translator - :speech_balloon: i18n Translator for Go/Golang using CLDR data + pluralization rules
sklearn - bits of sklearn ported to Go #golang
go-i18n - Translate your Go program into multiple languages.
goml - On-line Machine Learning in Go (and so much more)
paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm
EAGO
dpar - Neural network transition-based dependency parser (in Rust)
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.