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fabrizioaymone/README.md

MasterHead

Fabrizio's Code

Coding

I am Fabrizio M. Aymone, an Electronics Engineer and Researcher with a strong passion for AI, High-Performance Computing, and their application in quantitative fields. I recently graduated with honors from Politecnico di Milano and am pursuing an MSc in Electronic Engineering at ETH Zurich.

Connect with me:

fabrizio-maria-aymone

Languages and Tools:

c cplusplus python git linux pandas scikit_learn seaborn tensorflow

fabrizioaymone

 fabrizioaymone

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  1. suitability-of-Forward-Forward-and-PEPITA-learning suitability-of-Forward-Forward-and-PEPITA-learning Public

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

    4 1

  2. forward-learning-of-LLMs-to-consumer-devices forward-learning-of-LLMs-to-consumer-devices Public

    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…

    Python 1

  3. cuda-smith-waterman cuda-smith-waterman Public

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

    Cuda

  4. riscv-tflite riscv-tflite Public

    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…

    C++ 2 1

  5. merge-sort-fpga merge-sort-fpga Public

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

    VHDL 1

  6. DeepBeliefNetwork DeepBeliefNetwork Public

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

    C++