Pinned Repositories
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
Repo for the paper "Forward Learning of Large Language Models by Consumer Devices". Includes code for BP, PEPITA, and MEMPEPITA algorithms on Transformer models, and analyses for memory, complexity, and edge device performance.
merge-sort-fpga
Repository containing the design of an IP block for Merge Sort acceleration on FPGA for the FPGA101 PiA Course Project
riscv-tflite
This repo evaluates TensorFlow Lite for Microcontrollers (TFLite Micro) on RISC-V architectures, featuring cross-compilation and performance profiling with Spike and Gem5. It provides insights into in-order vs. out-of-order core designs for TinyML workloads.
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".
fabrizioaymone's Repositories
fabrizioaymone/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".
fabrizioaymone/ctf-writeups
Writeups for the training capture-the-flag challenges: https://training.olicyber.it/challenges
fabrizioaymone/merge-sort-fpga
Repository containing the design of an IP block for Merge Sort acceleration on FPGA for the FPGA101 PiA Course Project
fabrizioaymone/riscv-tflite
This repo evaluates TensorFlow Lite for Microcontrollers (TFLite Micro) on RISC-V architectures, featuring cross-compilation and performance profiling with Spike and Gem5. It provides insights into in-order vs. out-of-order core designs for TinyML workloads.
fabrizioaymone/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.
fabrizioaymone/cuda-smith-waterman
Repository containing the implementation in CUDA for the Smith-Waterman algorithm for the GPU101 PiA Course Project
fabrizioaymone/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
fabrizioaymone/fabrizioaymone.github.io
fabrizioaymone/forward-learning-of-LLMs-to-consumer-devices
Repo for the paper "Forward Learning of Large Language Models by Consumer Devices". Includes code for BP, PEPITA, and MEMPEPITA algorithms on Transformer models, and analyses for memory, complexity, and edge device performance.
fabrizioaymone/h-and-m-challenge
Python notebooks containing two models proposed for the H&M challenge hosted on Kaggle.
fabrizioaymone/mlogit-from-scratch
An implementation of the multinomial logistic regression model in python.
fabrizioaymone/titanic-challenge
Python notebook containing my solution for the Titanic ML Challenge hosted on Kaggle.
fabrizioaymone/faml
fabrizioaymone/qkeras
QKeras: a quantization deep learning library for Tensorflow Keras
fabrizioaymone/sensor
fabrizioaymone/speechpy
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
fabrizioaymone/tiny
MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers