This is the second post from micro-series preceding the SFI conference. In the first post I showed how easy it is to do the style transfer at home. Now, I would like to present you how to play with StyleGANv2. StyleGANv2 is the second version of StyleGAN, they are very similar in core principals. We will be working with StyleGANv2 but I will refer to it as SG. There is a lot that can be said/explained about SG. Here I would like to focus on showing how to make your own experiments with SG instead of getting into SG’s details. ...

I wrote another post for Appsilon, this time about deploying streamlit applications on RStudio Connect infrastructure. This post might be totally useless for majority of audience, but a pure gold for a few 💰. What is streamlit you can understand from my previous post. Having a running app in your browser is already cool, but how cool is it to deploy your app on the internet? If you need an enterprise solution for hosting dashboards in RShiny/streamlit, RSConnect is the way! In this blog post I focused on presenting solutions for common problems you might encounter. ...

As mentioned earlier, I will be giving a talk on the 17th SFI IT Academic Festival on the topic of style transfer and StyleGAN. In this post I would like to show you how easy it is to play with style transfer on your own! To tutorial or not to tutorial It might be obvious for you to check Tensorflow/PyTorch tutorials if you wanted to learn how to create style-transfer system. But what if you do not want to learn anything? Maybe all you want is just to do the style transfer on your photos? Apparently tutorials with colab notebooks are all you need! ...

I am happy to share that I was invited (for the first time in my life!) to give a talk on a conference. 🎉 It will be the 17th SFI IT Academic Festival, organized by students from the Jagiellonian University in Cracow. The conference will be held on 14-16 of March 2022. My lecture will be in Polish on topic StyleGAN w Twoich rękach -> StyleGAN in Your Hands, I will talk about transfer learning in general and later about StyleGANv2. The exact time and place will posted on SFI webpage. You can expect some materials regarding the talk later on my blog! ...

This one is short. :) Usually when we are doing ML experiments, training models, preparing EDA, we want to share the results with the World at some point. One of the quickest and easiest ways to do so in python, to create a simple webapp with results, is a super-cool library streamlit! If you thought building an app in flask is easy, you will be amazed by streamlit simplicity. Actually you do not have to create an ML related app, nobody checks that ;). ...

This year I took part in the advent of code event. If you’ve never heard about it, I attach tl;dr bellow. Today, I’d like to share my solution for Day 7 problem, because I find it very interesting. In the first half of the post I describe comparison in time complexity of two solutions (programming). In the second half I outline the proof of one solution (math). What is the Advent of Code For sure you had some kind of advent calendar in the past (or you still have), e.g. with little chocolates. You are supposed to eat one chocolate per day while counting days to Christmas Eve. AoC is an advent calendar for coders. Every day, a new programming task is revealed. You can compete to be high either in a global ranking (which is unreasonably difficult) or among your friends in a private ranking (that’s feasible, depending on your friends). ...

As mentioned a month ago, I write a series of posts on detecting solar panels from satellite images at my company, Appsilon. In this post I focus on using fastai python library to deliver a working ML model in few hours! ...

Today I have a short one, a follow-up to the post on pizza sizes. Recently, I was in my local pizza place where I had to choose between 32 and 46cm pizza. The bigger one cost 5 PLN more. Even without looking at my table, I chose the bigger one. I knew, however, that I’m going to eat only half of my pizza so I asked to pack the remaining half. This is what I’ve got: ...

In the previous post I’ve presented the basics of stating mathematical optimization problems and JuMP framework in julia. Today let’s follow up with concrete examples! Please checkout the accompanying jupyter notebook even though you might not feel like a programmer. It’s very clear and shows how easy it is to obtain solutions! ...

In the post about fitting pizzas inside another pizza I’ve shown the following picture and promised a post about recreating it. pizzas in pizzaPizzas packed in pizza However, I would not like to assume that everyone is familiar with the optimization theory (you may graduate from Computer Science and still not know a lot) so I want to present an introduction here as high school math and quadratic equations are enough to understand those concepts. ...