In this entry I’m going to present notes, thoughts and experimental results I collected while training multiple StyleGAN models and exploring the learned latent space. [Read More]

This is a collection of tutorials, examples and resources for generating fractals visuals using Blender. I’ll cover topics such as recursion, n-flakes, L-systems, Mandelbrot/Julia sets and derivations. [Read More]

In this entry, I am going to talk about deep learning models exposure and serving via Tensorflow, while showcasing my setup for a flexible and practical text generation solution. [Read More]

In this post, I am going instead to illustrate a deep-learning-based solution for the construction of a chatbot off-topic behavior and “personality”. In other words, when confronted with off-topic questions, the bot will try to automatically generate a possibly relevant answer from scratch, based only on a pre-trained RNN model.... [Read More]

This entry is a non-exhaustive introduction on how to create interactive content directly from your Jupyter notebook. Content mostly refers to data visualization artifacts, but we’ll see that we can easily expand beyond the usual plots and graphs, providing worthy interactive bits for all kind of scenarios, from data-exploration to... [Read More]