|11 days ago||8 months ago|
|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.
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.
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.
16GB vs 32GB RAM M1 Pro MacBook - Multitasking RAM Test
3 projects | reddit.com/r/apple | 31 Oct 2021
Also check out the (Gorgonia)[https://github.com/gorgonia/gorgonia] project if you're not familiar with ML in Go, it's a lot of fun and our basis (with contributions back of course =D)
Is Go a good language for a beginner in machine learning?
3 projects | reddit.com/r/golang | 28 Oct 2021
But Gorgonia for Go is pretty neat also, but more niche.3 projects | reddit.com/r/golang | 28 Oct 2021
gorgonia is a good place to look for machine learning resources in Go, with a very friendly community too.
Functional Options are named args on steroids
3 projects | reddit.com/r/golang | 21 Oct 2021
Btw, Gorgonia project is an example of this pattern.
Help with studying AI in go
2 projects | reddit.com/r/golang | 8 Feb 2021
I've heard good things about Gorgonia -- same u/ck_46 mentions below. I'm itching to give it a try!
2 projects | reddit.com/r/golang | 10 Jan 2021
I would recommend looking at Goronia https://github.com/gorgonia/gorgonia
How to train a model for object detection in Golang?
2 projects | reddit.com/r/golang | 16 May 2022
https://github.com/galeone/tfgo here is a very good tutorial. I would suggest starting there.
What libraries from other languages do you wish were ported over into go?
13 projects | reddit.com/r/golang | 27 Jul 2021
Tensorflow is actually written in C++, and the python package is just bindings to tensorflow. There are Tensorflow Go bindings: https://github.com/galeone/tfgo.
Using Time series to make predictions
1 project | reddit.com/r/golang | 16 Jan 2021
have you tried your hands at [galeone/tfgo](https://github.com/galeone/tfgo); I've just hello-world it... so can't vouch on efficiency
What are some alternatives?
GoLearn - Machine Learning for Go
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
goml - On-line Machine Learning in Go (and so much more)
go-deep - Artificial Neural Network
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
sklearn - bits of sklearn ported to Go #golang
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
gorse - An open source recommender system service written in Go
gobrain - Neural Networks written in go
bayesian - Naive Bayesian Classification for Golang.