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FilippoMB/README.md

Hello, I'm Filippo. I do ML for time series and graphs!

Hi there ๐Ÿ‘‹

  • ๐Ÿง‘๐Ÿฝโ€๐Ÿฆฑ I'm Filippo Maria Bianchi
  • ๐Ÿ‡ฎ๐Ÿ‡น I'm Italian but I live in Norway ๐Ÿ‡ณ๐Ÿ‡ด
  • ๐Ÿ‘จโ€๐Ÿซ I'm an associate professor at UiT the Arctic University of Norway
  • ๐Ÿ”Ž I do research in ML for time series and graphs
  • ๐ŸŒ I also work on remote sensing applications
  • ๐Ÿ”“ I mostly work with Python and I try to open-source all my work

Filippo's GitHub stats

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  1. python-time-series-handbook python-time-series-handbook Public

    Material for the course "Time series analysis with Python"

    Jupyter Notebook 109 19

  2. Time-series-classification-and-clustering-with-Reservoir-Computing Time-series-classification-and-clustering-with-Reservoir-Computing Public

    Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

    Python 353 84

  3. Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling Public

    Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

    Python 264 49

  4. Ensemble-Conformalized-Quantile-Regression Ensemble-Conformalized-Quantile-Regression Public

    Valid and adaptive prediction intervals for probabilistic time series forecasting

    Jupyter Notebook 86 9

  5. Benchmark_dataset_for_graph_classification Benchmark_dataset_for_graph_classification Public

    This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.

    Python 47 8

  6. Total-variation-graph-neural-networks Total-variation-graph-neural-networks Public

    Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.

    Python 20 3