Working with quarto files in RStudio is probably the suggested way. However, you may prefer to use VS Code. Especially if you work mainly in python. Itβs not a problem by any means! I wrote a post on medium on working with quarto in VS Code on python files. ...
Do you remember good old rmarkdown? --- title: "R markdown" output: html_document --- Hello ~world~ problems! We have a great successor in the form of quarto that is ready for 2022 and beyond! ...
One thing is to train the model, but another is to serve it. In between those two phases, model serialization and deserialization occurs. In simpler words itβs just model saving and loading. Itβs important because different methods result in different: Inference speed Model size Python environment size If you are curious what are the ways to serialize model in PyTorch and how they compare, checkout my new post on Appsilon blog. ...
Finally the recording of the talk StyleGAN w Twoich rΔkach from SFI 2022 is available online! π ...
SFINKS is a small conference on complex systems and interdisciplinary physics. I wanted to present something there since the first edition in 2016, but I never stood a chance. Every year there was something up, like an international exchange or a lot of tough exams. Finally, this year I was able to fullfil my dream as I presented a lightning talk O strachu przed liczeniem na papierze (eng. About the fear of calculating on paper). ...
Iβd like to inform that the course has finished and the total of 56 people received a graduation certificate (which required passing homeworks for over 70%), congratulations! π It was a great experience and Iβm happy that I was able to teach so many young students! ...
When working with deep learning problems I usually use PyTorch. I like this framework as it gives me a lot of freedom and allows to write code in the pythonic way. Using bare pytorch unfortunately often means writing a lot of boilerplate code, which no-one like. Another problem that arises during longer and larger projects is experiments running and configuration maintenance. I tackle those two problems by using pytorch-lightning and Hydra. Recently I described my approach in a post on the Appsilon blog. ...
Iβm happy to announce that Iβll create and teach the course Python LevelUP: Data Science by Appsilon in collaboration with DaftAcademy, part of DaftCode. This will be a five-week course on the basics of Data Science in python. The course materials will be available on GitHub for free. Apart from teaching the classic stuff, Iβll try to show some of the newest and coolest libraries out there. Even if you already know most of this stuff, I really recommend to take a closer look on the unknown packages. ...
Some time ago, Iβve worked on an oil sac (energy reservoir) detection in copepods (kind of zooplankton) for UniversitΓ© Laval. Apart from presenting the results on the ML4Plankton conference Iβve published a detailed blog post on the Appsilon blog that I strongly encourage you to read! ...
Recently I was working at work on detecting the oil sac in copepods. This is was a super cool problem in which we received data from professor FrΓ©dΓ©ric Maps from UniversitΓ© Laval. We together gave a talk on conference ML4Plankton that you can watch online! First Frederic gives some context on why this problem is important and later I explain methods used and problems you can find. Our talk is available online here: ...