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Marco Paspuel's Projects

awesome-ml-model icon awesome-ml-model

This project contains an example of how to use a DVC data registry to import training data.

azure-aks-cluster icon azure-aks-cluster

This project contains a Terraform template to deploy a customizable Kubernetes cluster in Azure Kubernetes Service (AKS).

azure-iaas-webserver icon azure-iaas-webserver

This project contains a Packer template, and a Terraform template to deploy a customizable, scalable IaaS web server in Azure.

azure-iac-linux-vm icon azure-iac-linux-vm

This project contains a Terraform template to deploy a customizable linux vm in Azure.

ccpd icon ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

chapter-3 icon chapter-3

Code and examples for chapter 3 of Bootstrapping Microservices

chapter-4 icon chapter-4

Code and examples for chapter 4 of Bootstrapping Microservices

chapter-5 icon chapter-5

Code and examples for chapter 5 of Bootstrapping Microservices

chapter-6 icon chapter-6

Code and examples for chapter 6 of Bootstrapping Microservices

chapter-7 icon chapter-7

Code and examples for chapter 7 of Bootstrapping Microservices

data-modeling-postgres icon data-modeling-postgres

This project builds an ETL pipeline to transfer data from json files into fact and dimension tables in a Postgres database.

data-validation-pipeline-images icon data-validation-pipeline-images

This project builds a data validation pipeline that identifies and discards images that are unusable for training, groupes them according to their characteristics and saves them into a versioned dataset.

data-warehouse-redshift icon data-warehouse-redshift

This project builds an ETL Pipeline that extracts data from S3, stages it in a Redshift cluster, and transforms the data into a set of Fact and Dimensional Tables.

devicon icon devicon

Set of icons representing programming languages, designing & development tools

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

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