calligrapher-ai VS neuronika

When I write a program I usually make it focused on a single thing that it's supposed to accomplish. For example, Calligrapher AI lets you type text and then "writes" the same text in human-like handwriting while you watch, and lets you save the image. Beep Knobs is just a board with knobs (albeit a fancy one) that lets you generate customized beeps. And Genetic Origins Heatmap does just what it sounds like, produces a world map indicating where your ancestors came from (using 23andMe DNA data, for example).

Calligrapher.ai ported from JavaScript - uses Sciter

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