Gorgonia
bayesian
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| Gorgonia | bayesian | |
|---|---|---|
| 21 | 0 | |
| 5,174 | 776 | |
| 1.1% | - | |
| 0.0 | 3.9 | |
| 1 day ago | 13 days ago | |
| Go | Go | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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
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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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?
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.
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
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What do you use Go for?
For machine learning, I use https://gorgonia.org/. For games, I use https://ebiten.org/ For GUIs, I usually use https://fyne.io/ . This (https://github.com/avelino/awesome-go) is a good resource too.
bayesian
We haven't tracked posts mentioning bayesian yet.
Tracking mentions began in Dec 2020.
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.
GoLearn - Machine Learning for Go
tfgo - Tensorflow + Go, the gopher way
goml - On-line Machine Learning in Go (and so much more)
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
go-deep - Artificial Neural Network
gorse - Gorse open source recommender system engine
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
go-fann - Go bindings for FANN, library for artificial neural networks
gobrain - Neural Networks written in go
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.