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Luigi Saetta's Projects

1d2d-code-detector icon 1d2d-code-detector

This repository contains all the work I have done to develop a barcode/qrcode detector using YOLOv5

advanced_tensorflow icon advanced_tensorflow

This repository contains all the work I have done during the spec. advanced tensorflow of Coursera

adwautomation icon adwautomation

Il repository contiene script ed informazioni relative alla demo del workshop OCI del 14/05/2020

ai-wearable icon ai-wearable

Repository containing all my work on developing models to process data from wearable devices

airplane_detector icon airplane_detector

This repo contains all the work done to develop a solution to detect and track airplanes in video

anomaly-large-data icon anomaly-large-data

This repository contains all the work I have done to prepare the workshop on Anomaly Detection on Large Data

atc-asr-tools icon atc-asr-tools

This repository contains a set of tools that can be used to work on audio ATC conversation for ASR

bias-compas icon bias-compas

Work done on BIAS analysis on the COMPAS Data, using AEquitas Toolkit

cassava2020 icon cassava2020

repository containing the main notebooks used for Kaggle Cassava 20202 competition

catboost-employee-attrition icon catboost-employee-attrition

This repository contains all the code developed during the preparation of the Demo for an Employee Attrition model with Catboost

computer-vision icon computer-vision

In this repository I'll store all the code I have developed in my explorations in the CV field, starting from Object Detection with YOLO V5

cxr-anomaly-detection icon cxr-anomaly-detection

This repository contains all the work done in december 2020 for building a model for CXR anomaly detection

cxr-pneumonia icon cxr-pneumonia

contains all my work on NIH-CXR-14 dataset, for pneumonia detection

data-drift-analysis icon data-drift-analysis

In this repo I have collected all the work done, starting from summer 2022, on tools to identify data drift

data-science-bp icon data-science-bp

This repo contains a set of best practices and examples for a successful adoption of Data Science

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