goRecommend
GoLearn
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| goRecommend | GoLearn | |
|---|---|---|
| - | 3 | |
| 203 | 9,161 | |
| - | - | |
| 0.0 | 0.0 | |
| over 9 years ago | 3 months ago | |
| Go | Go | |
| MIT License | MIT License |
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.
goRecommend
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Tracking mentions began in Dec 2020.
GoLearn
- Machine Learning
- GoLang AI/ML open source projects
-
Multi-layer neural network from scratch in Go
If you're curious about a more robust machine learning library in Go, https://github.com/sjwhitworth/golearn is a quite feature-rich option.
What are some alternatives?
go-pr - Pattern recognition package in Go lang.
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
sklearn - bits of sklearn ported to Go #golang
gobrain - Neural Networks written in go
goml - On-line Machine Learning in Go (and so much more)
Varis - Golang Neural Network
godist - Probability distributions and associated methods in Go
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
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
randomforest - Random Forest implementation in golang