Pinned Repositories
babino2020masks
Code for https://www.nature.com/articles/s41598-021-84679-8#MOESM1
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
covid
covid analysis for Brazil. Main data from opendatasus (SRAG).
COVID-19-Brazil
Code for Lancet Global Health 2020 paper: "Ethnic and regional variation in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study" by Pedro Baqui, Ioana Bica, Valerio Marra, Ari Ercole and Mihaela van der Schaar
epp
analise eleicoes
fastbook
The fastai book, published as Jupyter Notebooks
ffhq-dataset
Flickr-Faces-HQ Dataset (FFHQ)
gan
aplicacoes com GAN (generative adversarial network) https://victor-marchesini.github.io/gan/
github-slideshow
A robot powered training repository :robot:
jornalismo_dados
Oficina de jornalismo de dados, utilizando dados abertos. https://victor-marchesini.github.io/jornalismo_dados
victor-marchesini's Repositories
victor-marchesini/babino2020masks
Code for https://www.nature.com/articles/s41598-021-84679-8#MOESM1
victor-marchesini/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
victor-marchesini/covid
covid analysis for Brazil. Main data from opendatasus (SRAG).
victor-marchesini/COVID-19-Brazil
Code for Lancet Global Health 2020 paper: "Ethnic and regional variation in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study" by Pedro Baqui, Ioana Bica, Valerio Marra, Ari Ercole and Mihaela van der Schaar
victor-marchesini/epp
analise eleicoes
victor-marchesini/fastbook
The fastai book, published as Jupyter Notebooks
victor-marchesini/ffhq-dataset
Flickr-Faces-HQ Dataset (FFHQ)
victor-marchesini/gan
aplicacoes com GAN (generative adversarial network) https://victor-marchesini.github.io/gan/
victor-marchesini/github-slideshow
A robot powered training repository :robot:
victor-marchesini/jornalismo_dados
Oficina de jornalismo de dados, utilizando dados abertos. https://victor-marchesini.github.io/jornalismo_dados
victor-marchesini/opendatasus
Análises referentes a dados de Covid. Projeto baseado em jupyter notebooks executados no Google Colab
victor-marchesini/PythonFundamentos
Repositório do Curso Online Python Fundamentos Para Análise de Dados.
victor-marchesini/querido-diario
📰 Brazilian government gazettes, accessible to everyone.
victor-marchesini/stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation
victor-marchesini/usp_eah5002
https://victor-marchesini.github.io/usp_eah5002/ Site com atividades e materiais relativos à disciplina EAH5002.
victor-marchesini/victor-marchesini.github.io
Minha página do Github
victor-marchesini/web_scraping
Leitura e processamento de alguns dados abertos não estruturados
victor-marchesini/WPRAutoencoders
This is one of Petrobras' open repositories on GitHub. It contains the WPRAutoencoders project which encompasses a wellbore pressure response generator, a dataset of 20.000 synthetic pressure responses and an autoencoder neural network capable of clustering this data based on transmissibility and reservoir geometry.