Lële (emanuelevivoli)

emanuelevivoli

Geek Repo

Company:MICC, Unifi

Location:Florence, Italy

Home Page:www.emanuelevivoli.me

Twitter:@emanuelevivoli

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Lële's repositories

AI4newbies

This book is about AI, Machine Learning and Deep learning, and was generated using [chatGPT](https://chat.openai.com)

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CoMix-dataset

Repository for "CoMix: Comprehensive Benchmark for Multi-Task Comic Understanding"

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cdf

Framework for mixing Comics datasets, existing and new, with dense and curated annotations.

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2021-Master-Thesis-UNIFI

Master thesis for "Scientific Papers similarity based on NLP"

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2019-Global-Optimization-UNIFI

Comparison of two algorithms for hyperparameters global optimization: Radial Basis Functions and Bayesian gaussian processes.

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2020-Multimedia-and-Computer-Vision-UNIFI

Code and documentations for the project "Compression Reconstruction Loss for Super-Resolution Images with GAN" assigned in the class "Multimedia and Computer Vision" 2020/2021.

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emanuelevivoli.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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2018-Bachelor-Thesis-UNIFI

Bachelor Thesis in Computer Science and Engineering at University of Florence titled "Neural Networks for handwriting analysis with smart-pen".

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2019-EEG-Internship-LTU

Code and documentations for the project on "EEG intent classification" done while Interning at Luleå Tekniska Universitet.

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2019-Machine-Learning-FCT

Code and documentations for two project of the "Machine Learning" course attended at NOVA Faculdade de Ciencias e Tecnologia, in Lisbon.

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2018-Software-Engineering-UNIFI

Exercises (written and oral exam documents) from the "Software Engineering" course at University of Florence.

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2019-Computational-Numerical-Statistics-FCT

Code and documentations for projects of the "Computational Numerical Statistics" course attended at NOVA Faculdade de Ciencias e Tecnologia, in Lisbon.

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2019-Data-and-Document-Mining-UNIFI

Code and documentations for the "Data and Document Mining" course at University of Florence with eye tracker.

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2019-Image-and-Video-Analysis-UNIFI

People identification through shape and geometry of hands. Based on a paper by Shefali Sharma et al.

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2019-Multivariate-Statistics-FCT

Documentation report for the exam of "Multivariate Statistics" course, attended at NOVA Faculdade de Ciencias e Tecnologia, in Lisbon

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2020-Algorithm-and-Distributed-Systems-FCT

Project "publish/subscribe system based on Topics" assigned in the class "Algorithm and Distributed Systems" 2019/ 2020.

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2020-Software-Architecture-Methodologies-UNIFI

Code and documentations for the project "State Management Comparison" assigned in the class "Software Architecture Methodologies" 2020/2021.

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academic

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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CLIP-Help-SimCLR

Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning

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d2l-it

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

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emanuelevivoli

This is me 👋

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emanuelevivoli-old.github.io

Personal Website, Portfolio and Blog 🔥 available at https://www.emanuelevivoli.me

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LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

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mm-cot

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

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mmf-1

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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MUST-VQA

Code related to paper "MUST-VQA: MUltilingual Scene-Text VQA" accepted at ECCV22 workshot TiE.

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portfolYOU

A beautiful portfolio Jekyll theme that works with GitHub Pages.

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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simclr-pytorch

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

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