I’ve created an application that helps Ukrainian refugees to find accommodation and aid. The application organizes the work of volunteers and gathers information about aid/accommodation availability in various regions across UE. It works as a fully automated and scalable system on GCP as a serverless app.
As of May 4th, 2022 the application is fully acquired by AirBnB.org.
Project was notniced by the European Commission’s Open Source Observatory and summarized in the article about it.
Analysis of methods and measures used in Explainable Artificial Intelligence. Effect of augmentation on the interpretability of deep learning models by checking their structural similarity. Comparision of the robustness of XAI methods.
Tracking and recognition of farm animals (pigs) with CNN and Siamese network.
Airport simulation for evaluation of airport gate assignment problem.
Creation of usage network to provide historical information about trends and users preferences.
ML project to predict bicycle usage in the city of Wrocław. It’s using historical data and current weather to predict usage in particular parts of the city.
Deep Reinforcemenet Learning solution for playing Pong using Atari simulator. Application is using DoubleDeep Q-Learning algorithm.
MCTS solution for Pong game using Atari simulator
Tiny Face Detection with TensorFlow 2.0
YOLOv3 implementation in TensorFlow 2.0
Application to annotate tweets and create the first polish annotated dataset.
Small library that allows us to compare screenshots generated by puppeteer in our tests.
Chrome extenstion which allows scrapping Gumtree and OLX.
Application to create a weighted network of people with similar skils/interests.
Simple library to validate git branch name before pushing it to repository. Helpful if you want to enforce naming convention in your team without manually checking branch names.
Detection, recognition and tracking of farm animals.
A quick roundup on how XAI works. More on Lime and Integrated Gradient.
Our aporach to solving airport gate optimization.
Presentation about Temporal Network Project
Presentation about Extreme Learning Machines. Additionally, there is a implementation of basic ELM in python https://github.com/burnpiro/elm-pure
Presentation about how JS engine works and why your browser uses all your RAM
Presentation on the first day of Geek Girls Carrots workshop in Wrocław.
Talk about how to write e2e tests in modern way without using Selenium of even Java. Introduction to Puppeteer. Code: Github
Talk about JS engines and browser performane when rendering web applications. Code: CodePen