Mauricio Vanzulli's Projects
Dataset Link
Repositorio con los contenidos desarrollados durante el curso de Computación Científica en Julia: https://mforets.github.io/computacion-cientifica-en-julia/dev/
Model and deployment for cervical cancer risk factors . The data set is obtained from Kaggle (https://www.kaggle.com/loveall/cervical-cancer-risk-classification/data).
Material del curso "Computación Científica en Julia"
Repository of the MSc thesis 3D nonlinear dynamic corrotational implementation for modelling transmission line system
This repo contains the files implemented thorough the Deep Learning Specialization offered by DeepLearning.IA
Example Julia package repo.
Unsupervised learning application to fraud detection
Financial derivatives modeling and pricing in Julia.
An under construction API to use FEBio with Gmesh meshes
A repository trough my journey across Graphical Processing Units.
A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.
This repository include julia experiments, documentation, books and notebooks
Scalable Symbolic-Numeric Set Computations
A markdown template for any new project
A local deployable version of an AI meeting assitant
This repo contains the files implemented thorough the Machine Learning Specialization offered by DeepLearning.IA
README
My own terminal customization using Oh-my-zsh and Powertheme
Some Python tips and tricks for writing better code.
Matlab code for computing the reconfiguration of a cantilevered beam subjected to normal flow
This repository include a brief for using cluster-FING in linux for programming beginners
This repository contains the source codes used to generate the numerical results presented in the manuscript entitled: "A Consistent Co-rotational Formulation for Quasi-Steady Aerodynamic Nonlinear Analysis of Frame Structure" by M. C. Vanzulli and J. M. Pérez Zerpa .
This repository contains an implementation of Tensorized Physics Informed Neural Networks (TPINNs) for solving physics-based problem
Este ropsitorio contiene los comandos básicos para el uso de la herramienta GitHub/GitlabFING presentado en el webInario IIMPI de septiembre 2021
UdelarBeamer es un modelo prediseñado (clase o plantilla) en LaTeX para presentaciones en programas de la UdelaR.
Application of a cDCGAN to predict the flow around a WT conditioned to the inflow velocity. GAN trained with CFD simulations. Work based on Zhang J, Zhao X, "Wind farm wake modeling based on deep convolutional conditional generative adversarial network"