FrancescoCrecchi
Ph.D. Student in Adversarial Machine Learning.
Dipartimento di Informatica, UniversitĂ di Pisa Pisa, Italy.
Pinned Repositories
AE_Detector
Classpad
Classpad
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
deepdrawing
This is the released code for our IEEE VIS19 Paper "DeepDrawing: A Deep Learning Approach to Graph Drawing".
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).
DtNR
t-SNE based Deep Neural Rejection (DNR) repository.
FADER
Fast Adversarial Examples Reject repository.
hacking-art-of-exploitation-2nd-edition-LiveCD-VMWare-virtual-machine
Intro_Keras
Introduction to Keras deep learning framework.
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`.
FrancescoCrecchi's Repositories
FrancescoCrecchi/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`.
FrancescoCrecchi/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).
FrancescoCrecchi/AE_Detector
FrancescoCrecchi/hacking-art-of-exploitation-2nd-edition-LiveCD-VMWare-virtual-machine
FrancescoCrecchi/Intro_Keras
Introduction to Keras deep learning framework.
FrancescoCrecchi/Classpad
Classpad
FrancescoCrecchi/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
FrancescoCrecchi/deepdrawing
This is the released code for our IEEE VIS19 Paper "DeepDrawing: A Deep Learning Approach to Graph Drawing".
FrancescoCrecchi/DtNR
t-SNE based Deep Neural Rejection (DNR) repository.
FrancescoCrecchi/FADER
Fast Adversarial Examples Reject repository.
FrancescoCrecchi/Data-Science-books
FrancescoCrecchi/FSharp-Interfaces-Apps
Some codes developed learning programming user interfaces in fsharp.
FrancescoCrecchi/Game-Of-Life
Design Pattern exercise
FrancescoCrecchi/GoL_optimized
SPM GoL final project
FrancescoCrecchi/Intro-to-Data-Science-with-Python
FrancescoCrecchi/packer-windows
Windows Templates for Packer: Win10, Server 2016, 1709, 1803, 1809, 2019, 1903, 1909, 2004, Insider with Docker
FrancescoCrecchi/Parametric-t-SNE-in-Keras
a python implementation of Parametric t-SNE in Keras
FrancescoCrecchi/tensorflow
Computation using data flow graphs for scalable machine learning
FrancescoCrecchi/Tensorflow-EchoStateNetwork
Echo state network implementation on tensorflow