neuronika VS skytable

Also perhaps comparing to Neuronika.

how does it compare with https://github.com/spearow/juice, https://github.com/neuronika/neuronika and https://github.com/spearow/juice?

Check where and how this struct is used. https://github.com/neuronika/neuronika/blob/variable-rework/neuronika-variable/src/history.rs

I have a question: as the maintainer of [neuronika](https://github.com/neuronika/neuronika), a crate that offers dynamic neural network and auto-differentiation with dynamic graphs, I'm looking at a future possible feature for such framework consisting in the possibility of compiling models, getting thus rid of the "dynamic" part, which is not always needed. This would speed the inference and training times quite a bit.

If you like autograd you will love neuronika

After reading most of the book, I wanted to get my hands dirty. My initial idea was to build a small machine learning framework but I deemed it to be too difficult if not impossible for me at the time. (Now, neuronika would have something to say). When gathering the bibliography for my thesis, I recalled to have stumbled upon a particular algorithm, t-SNE, whom I liked very much. I found the idea behind it to be very clever and elegant (t-SNE it's still one of my favorite algorithms, together with backprop and SOM, I find manifold learning fascinating in general). "So be it", I said, and I began writing a mess of a code, that was basically a translation of the C++ implementation. Boy was it bad.

me and a colleague of mine are developing neuronika

:) in fact, I copied the definition from the project page and Skytable is not finished project yet. You can see here, the real time features in the road map. https://github.com/skytable/skytable/issues/203

Back in June 2020, I started writing what is now known as Skytable, a NoSQL database project. Ever since, I have been maintaining Skytable, mostly in my free time and have recently been spending a lot of time on it. Here's a little story on my two years of experience in maintaining an open-source project: what it's like, the highs and lows and the future.

I'm delighted to release Jotsy — a self-hosted, free and open-source (Apache-2.0) note taking app, built with Skytable, Axum and Tokio. The most important goal of Jotsy is to be simple and focus on the most important thing, notemaking.

Skytable — A multi-model NoSQL database

Well, we're building the Skytable database with it.

I just came across this: https://github.com/skytable/skytable after bumping into the benchmarks I saw, which seem absolutely impressive at a first glance: