Federico Amato (federhub)

federhub

Geek Repo

Company:Swiss Data Science Center

Location:Lausanne, Switzerland

Home Page:https://datascience.ch

Twitter:@FdrcAmato

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Federico Amato's repositories

pyGRNN

Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also provided

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ST_DeepLearning

Code for the paper "A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning"

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FiShPy

Proposes non-parametric estimates of the Fisher Information Measure and the Shannon Entropy Power. The package contains also some bandwidth selectors for kernel density estimate.

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HPC-MPI-OpenMP-

Code and notes from the HPC course by the Centre for Advanced Modelling Science

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Deep-Forecast

The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.

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ectqg19-workshop

R&Py Spatial Analysis Workshop, 5 September 2019: European Colloquium on Theoretical and Quantitative Geography

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FiSh

Fisher-Shannon method

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