Gorgonia
gorse
| Gorgonia | gorse | |
|---|---|---|
| 21 | 8 | |
| 5,350 | 8,131 | |
| 0.9% | 1.9% | |
| 2.5 | 6.7 | |
| about 1 month ago | 20 days ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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Gorgonia
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Machine Learning en GO! 🤯
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
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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.
- Why isn’t Go used in AI/ML?
- GoLang AI/ML open source projects
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A systematic framework for technical documentation authoring
Perhaps it's a product of French culture, but because Gorgonia[0] has a number of French contributors, this was actually the way we structured our documentation.
But this is the first time I've heard of the name of the framework.
[0]: https://gorgonia.org
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[D] When was the last time you wrote a custom neural net?
Oh it's.Gorgonia
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Most Popular GoLang Frameworks
Website: https://gorgonia.org
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[D] What framework are you using?
I use Gorgonia.
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Why can't Go be popular for machine learning?
What you think about this https://github.com/gorgonia/gorgonia ? I also recall there is something else out there but can't find it at the moment...
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Neural networks in golang
Yep, all of them: https://github.com/gorgonia/gorgonia
gorse
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Is there already a profile recommendations engine?
[1] https://github.com/gorse-io/gorse
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How to Use AVX512 in Golang
Thanks, @gnabgib. Your comment is very insightful and reminds me of my mentor correcting my academic paper. The post introduces the basic idea of using AVX512 in Go by writing C codes. There are mistakes and many details are omitted. A complete example is https://github.com/gorse-io/gorse/tree/master/base/floats
- [P] Gorse: An open-source recommender system service
- An open source recommender system service written in Go
- [P] An open source recommender system service written in Go
What are some alternatives?
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or 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
GoLearn - Machine Learning for Go
sklearn - bits of sklearn ported to Go #golang
tfgo - Tensorflow + Go, the gopher way
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
goml - On-line Machine Learning in Go (and so much more)
go-cluster - k-modes and k-prototypes clustering algorithms implementation in Go
bayesian - Naive Bayesian Classification for Golang.
libsvm - libsvm go version