crash-eda

The notebook analizes (i.e. mean, mode, skewness, etc) the crash dataset and builds visual representation of the data using matplotlib and seaborn.

ctf-writeups

Writeups for the training capture-the-flag challenges: https://training.olicyber.it/challenges

cuda-smith-waterman

Repository containing the implementation in CUDA for the Smith-Waterman algorithm for the GPU101 PiA Course Project

deepbeliefnetwork

C++ implementation of the Deep Belief Network for classifying MNIST digits discussed in G. Hinton paper "A fast learning algorithm for deep belief nets".

fabrizioaymone

fabrizioaymone.github.io

forward-learning-of-llms-to-consumer-devices

h-and-m-challenge

Python notebooks containing two models proposed for the H&M challenge hosted on Kaggle.

merge-sort-fpga

Repository containing the design of an IP block for Merge Sort acceleration on FPGA for the FPGA101 PiA Course Project

mlogit-from-scratch

An implementation of the multinomial logistic regression model in python.

qkeras

QKeras: a quantization deep learning library for Tensorflow Keras

speechpy

:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

suitability-of-forward-forward-and-pepita-learning

This repository contains the spreadsheet of the quantitative analysis performed for the paper "Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks".

titanic-challenge

Python notebook containing my solution for the Titanic ML Challenge hosted on Kaggle.