Gorgonia VS Revel

GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.

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.

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

Oh it's.Gorgonia

Website: https://gorgonia.org

I use Gorgonia.

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...

Yep, all of them: https://github.com/gorgonia/gorgonia

Closest spiritual competitor to Phoenix I’m aware of in Go world is Revel (https://revel.github.io/) and it’s still at a stiff feature disadvantage.

When I googled and looked around, there are a few web frameworks for Go. Some of the ones that looked the most "cmoplete" or similar to Rails -- from my googling without really knowing the details -- were revel, gorilla, and beego. Although it looks like gorilla is no longer developed.

Website: http://revel.github.io

revel

Of course there are options that make your work a lot less frustrating. From your choice of tools, you're probably trying to setup your architecture yourself but if that's not a necessity for you, you can tap into community frameworks that have basic features wired. There is Revel https://github.com/revel/revel A Rails alternative in Go.