Deep Learning - Is There Something Other Than That?

Deep learning can do a lot of wonderful things in image domain and text domain, even in the graph domain. But tabular data is not really that much use case for this kind of model. So I decided to open source it, because it's in a good form already, and it is easier to open source. And just a couple of weeks before I think I launched another, uh, major version, where I've also included self supervised learning as another pipeline. That's how you typically train models like DF or DF-DF which are trained on Dabner data. We're going to break it down from the nerd perspective when we talk about these traditional ML algorithms.