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1. Estimation-and-Analysis-of-Mutual-Information-in-a-Recurrent-Neural-Network Estimation-and-Analysis-of-Mutual-Information-in-a-Recurrent-Neural-Network Public

   This project, developed as part of the "Information Theory and Inference" exam, aims to use different discrete and continous estimators to calculate the mutual information between layers of a RNN t…

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2. BiLSTM-vs-BERT-in-feature-extraction-for-Neural-Dependency-Parsing BiLSTM-vs-BERT-in-feature-extraction-for-Neural-Dependency-Parsing Public

   Completed as part of the "Natural Language Processing" course, this project employs the ArcEager parsing algorithm. Implementation is carried out using PyTorch and the Hugging Face library for util…

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3. Blind-Face-Restoration-and-Upscaling Blind-Face-Restoration-and-Upscaling Public

   This project, created for the "Vision and Cognitive Systems" course, employs generative networks with landmarks as priors to reconstruct full-size and small-size blind faces.

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4. Mini-Batch-K-means-on-RCV1-dataset-using-Dask Mini-Batch-K-means-on-RCV1-dataset-using-Dask Public

   Developed for "Management and Analysis of Physics Dataset Mod. B," this project uses Dask and CloudVeneto VMs to handle a massive 250GB dataset. Clustering on 800k RCV1 articles involves dataset re…

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5. Reproducing-Neuron-Dynamics-with-Highly-Structured-and-Trained-Chaotic-Random-RNN-Models Reproducing-Neuron-Dynamics-with-Highly-Structured-and-Trained-Chaotic-Random-RNN-Models Public

   This project, developed for the "Physical Models of Living Systems" course, reproduces recorded neuron dynamics from ALM using both highly structured and trained chaotic random RNN models.

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6. zoppellarielena.github.io zoppellarielena.github.io Public

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