PYTHON E POSTGRESQL - EXTRACT TRANSFORM LOAD - ETL - DADOS PÚBLICOS DA RECEITA FEDERAL DO BRASIL - RFB, INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA - IBGE E AGÊNCIA NACIONAL DO PETRÓLEO, GÁS NA…

Open source code for "cigFacies: a massive-scale benchmark dataset of seismic facies and its application"

Latex templates for documents of INF/UFRGS

Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

TGS Salt Identification Challenge

Here, I am studying the pionneering paper of VAEs called "Auto-Encoding Variational Bayes" written by Diederik P. Kingma and Max Welling.

A PyTorch implementation of "Auto-Encoding Variational Bayes" by Diederik P. Kingma and Max Welling

A tensorflow implementation of Variational autoencoder. We present the results on real world datasets, namely; celebA and Mnist dataset.

🤖🖌️ Generate photo-realistic textures based on source images or (soon) PBR materials. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.