|over 6 years ago||21 days ago|
|BSD 3-clause "New" or "Revised" License||Apache License 2.0|
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.
We haven't tracked posts mentioning libsvm yet.
Tracking mentions began in Dec 2020.
A systematic framework for technical documentation authoring
3 projects | news.ycombinator.com | 23 Nov 2022
Perhaps it's a product of French culture, but because Gorgonia 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.
Most Popular GoLang Frameworks
13 projects | dev.to | 20 Sep 2022
[D] What framework are you using?
3 projects | reddit.com/r/MachineLearning | 17 Aug 2022
I use Gorgonia.
Why can't Go be popular for machine learning?
6 projects | reddit.com/r/golang | 22 Jul 2022
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.6 projects | reddit.com/r/golang | 22 Jul 2022
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...
Neural networks in golang
3 projects | reddit.com/r/golang | 8 Jul 2022
Yep, all of them: https://github.com/gorgonia/gorgonia
What do you use Go for?
11 projects | reddit.com/r/golang | 15 Apr 2022
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.
What type of software do you write at your workplace?
33 projects | reddit.com/r/golang | 17 Jan 2022
p/s I am the main contributor to Gorgonia which is a pure Go deep learning library that somewhat predates TensorFlow
Which library/project do you wish was ported to golang?
29 projects | reddit.com/r/golang | 9 Jan 2022
There’s always Gorgonia. just not TF compatible
[D] Looking for open source projects to contribute
15 projects | reddit.com/r/MachineLearning | 9 Jan 2022
If you know Go, Gorgonia is a pure Go framework for doing deep learning and various other autograd related things. I'd see it as a bastard baby of PyTorch and TensorFlow. We're always looking for new contributors.
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
goml - On-line Machine Learning in Go (and so much more)
tfgo - Tensorflow + Go, the gopher way
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
go-deep - Artificial Neural Network
sklearn - bits of sklearn ported to Go #golang
go-galib - Genetic Algorithms library written in Go / golang
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
bayesian - Naive Bayesian Classification for Golang.
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.