Gorgonia VS goleveldb

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

Looks like a job for GoLevelDB.

goleveldb - Implementation of the LevelDB key/value database in Go.

I wanted to get deeper insights into both indexeddb and leveldb, so decided to write an indexeddb wrapper around goleveldb.

https://github.com/syndtr/goleveldb for heavy-duty local data storage.

We're using go-leveldb for a reasonably high-load case here at my $dayjob.

I would used some embedded kv store like go-leveldb or bolt. Key is BigEnding timestamp + optional tail to allow duplicate timestamps.

I'm using the leveldb https://github.com/syndtr/goleveldb for the moment because I'm developing the architecture. Mh, leveldb support the only the inmem db? :/