Probabilistic Forecasting Made Simple
While researching probabilistic forecasting in a client project I managed to find a paper which opens the door to any neural network with dropout - which is the majority. That is, we can do probabilistic forecasting with essentially any network!
Timeseries Learnings at AFRY
Sharing knowledge based on working a lot with timeseries
Decomposing & Working with Time Series (Time Series #1)
In this post/Jupyter Notebook we’ll look at Time Series and theory surrounding them.
Object Detection (Workshop)
How to do object detection using Transformers?
Transfer Learning (Presentation)
What is Transfer Learning? Can I have the cake and eat it too?
TIL: ‘The Badass Runtime Plugin’, jpackage & jlink - create a ‘native’ installable executable from your JVM-app that isn’t huge
‘The Badass Runtime Plugin’ is a plugin that allows you to package a stripped down JRE and modules from your program into a ‘native’ installable program which doesn’t require the user to have Java installed. It takes help of JPackage & JLink to achieve this, my own small program ended up at 35 MB including JRE, which is pretty crazy. This is like Electron, but better! ;)