Gorgonia VS viper

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

Once environment variables are setup we need load them into our project. For this this i will use viper

The code uses Viper to load configuration files in the application.

github.com/spf13/viper

Instead of directly accessing environment variables with os.Getenv(), integrating a configuration handler like viper might make it maintainable.

I guess most people are using https://github.com/spf13/viper but I don't know if I should read everything from

Use Viper for config file or environmental variable configuration -- it's going to save you a whole lot of time.

Cobra and Viper.

I've mostly been using https://github.com/spf13/viper of late for my go projects. It supports the standard config formats, (json, yaml, toml etc) and lets you override any value with a ENV value.