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Giulio Nenna's Projects

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Machine Learning project related to the course "Apprendimento Statistico" held by professors Gianluca Mastrantonio and Francesco Vaccarino at Politecnico di Torino (IT)

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Minimal Working Example of a (baseline) Temporal Convolutional Autoencoder (TCN-AE) for Anomaly Detection in Time Series

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Terzo Homework del corso di dinamiche su network 2020/2021

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Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)

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Implementation of GMRES algorithm for solving linear systems. Free homework of the course CLAFLSP

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An Implementation of PCA and K-means on a dataset. Homework project for the course "Computational Linear Algebra for Large Scale Problems" AY 22/23

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Labs and Projects relative to the Machine Learning and Deep Learning Course (AY 22/23)

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MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

mtad-gat-pytorch icon mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

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