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This project, part of the Deep Learning course at Warsaw University of Technology, investigated various diffusion models for image generation. We implemented and tested three models—DDPM, DDIM, and PNDM—using the LSUN Bedroom dataset to generate 128x128 pixel images. We trained these models with PyTorch and the Hugging Face Diffusers library, comparing their performance over different epochs. Evaluations included FID scores and visual interpolation assessments. Comprehensive and reproducible results are detailed in the repository's README.

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The project, undertaken as part of the Deep Learning course at Warsaw University of Technology, aimed to develop custom RNN architectures and test Whisper and Audio Spectogram Transformer and evaluate their performance. Utilizing the Speech Commands dataset, all models were trained using PyTorch. Comprehensive results, documented in the repository's README file, are reproducible for further analysis.

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The project, undertaken as part of the Deep Learning course at Warsaw University of Technology, aimed to develop custom CNN architectures and evaluate their performance against pretrained models. Utilizing the CINIC-10 dataset, all models were trained using PyTorch. Comprehensive results, documented in the repository's README file, are reproducible for further analysis.

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The project, undertaken as part of the Advanced Machine Learning course at Warsaw University of Technology, aimed to implement Logistic Regression from scratch with 3 different optimizers: SGD, IRLS and Adam. Additionaly, evaluate their performance in binary classification task alongside with LDA, QDA, Decision Tree and Random Forest. Comprehensive results, documented in the repository's README file, are reproducible for further analysis.

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A Django web app can help students manage their studies by providing a platform to create and manage tasks and projects. Each task can have a priority level, and the app also has a translator tool to help with notes and assignments in different languages, which can be useful for international students or those studying in a foreign language.

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Dashboard created in Streamlit showing analysis of the data from Messenger. Project required pipeline for data processing and analysis.

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Two projects from my studies at Warsaw University of Technology. The first one is a classification task, where I had to predict the activity of a person based on the data from their phone. The second one is a clustering task, where I had to cluster documents based on their content.

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A poster on environmental protection within the subject of Data Visualization Techniques. The poster was created in Canva and contains a lot of charts and graphs created using R language.