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byol-from-scratch

Implementation from scratch in pure Pytorch of the article "Bootstrap your own latent: A new approach to self-supervised Learning".

large-language-models-for-data-extraction-in-slot-filling-tasks-paper-datasets

The repository contains "Leaves Dataset" and "Delegations Dataset" used as part of the research carried out for the article "Large language models for data extraction in slot-filling tasks".

nlp_learning

prioritization-of-tasks-created-from-textual-description-using-language-models-paper-datasets

The repository contains anonimized "Real Dataset" and translated "Enron Dataset" used as part of the research carried out for the article "Prioritization of tasks created from textual description using language models".

style-transfer-from-scratch

Implementation from scratch in pure Pytorch of the article "Image Style Transfer Using Convolutional Neural Networks".

voc-semantic-segmentation-with-custom-model

Inspired by a U-Net, SegNet and FCNN models convolutional encoder-decoder network with skipped-connections and pre-trained VGG16 network with Batch Normalization as an encoder. Decoder network was designed by me. Model was trained from scratch with Pytorch.