Francesco Crecchi (@FrancescoCrecchi)
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FrancescoCrecchi

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Top repositories

1

Multiscale-Parametric-t-SNE

ESANN20 paper code repository. This package is a perplexity-free extension of Parametric t-SNE dimensionality reduction method implemented in `Keras` and compatible with `Scikit-learn`.
Python
20
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2

DropIn-ESN

This repository contains the code used to produce the results presented in the IJCNN 2017 paper "DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout" by D. Bacciu, F. Crecchi (University of Pisa) and D. Morelli (Biobeats LTD).
MATLAB
8
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3

AE_Detector

Python
3
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4

Intro_Keras

Introduction to Keras deep learning framework.
Jupyter Notebook
1
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