My name is Ludek and I am primarily interested in the development of state-of-the-art methods in the machine learning field.
Here are some of the most relevant projects I have done in the past:
- π / 2024 / Size Does Not Matter: A Data-Centric Approach to Fine-Tuning Phi3-mini
- π / 2023 / Benchmarking SOT Feature Transforms for Biomedical Few-Shot Learning Tasks
- π / 2023 / Advancing Homepage2Vec with LLM-Generated Datasets for Multilingual Website Classification
- π / 2023 / Evaluating Taste Consensus Among Beer Reviewers: are beer descriptors specific to the given beer type?
- π / 2023 / Prediction of movement based on sEMG signal data
- π / 2023 / Mutagenicity prediction using Graph Neural Networks
- π / 2023 / Co-founded first AI organisation at ITU and wrote several blog posts about SOTA papers (LLaMA, MarioGPT, ...)
- π / 2023 / Designing Zelda game levels with the help of Neural Cellular Automata
- π / 2022 / Implementation of common ML algorithms from scratch
- π / 2022 / Power production prediction based on time series data
- π / 2022 / Personal marathon race data visualisation using Plotly and Dash
I have been also a Teaching Assistant in several courses, you might find useful the following materials: