Marcelo Albuquerque's repositories
awesome-reservoir-engineering
Curated from repositories that make our lives as reservoir engineers and geoscientists easier or just more awesome
coronavirusbrazil
The COVID-19 Dataset for Brazil - https://mralbu.github.io/coronavirusbrazil
CoDa.jl
Compositional data analysis in Julia
covid-19
A collection of work related to COVID-19
deeplearning.ai-GANs-Specialization
A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera
esri2sf
Scrape features from ArcGIS Server REST API and create simple features dataframe
geobr
Easy access to official spatial data sets of Brazil in R and Python
Geolog-Python-Loglan-use-of-Altair-to-Interrogate-Log-Analysis-data
The objective of this repository is take advantage of Geolog's powerful python loglan capabilities to interrogate Petrophysical well log data using python's interactive Altair in Geolog. The use of python in Geolog will allow us to leading-edge data science techniques in Geolog to process, interrogate and interpret out logs.
gmr
Gaussian Mixture Regression
hdf5_dataloader
DataLoader subclass for PyTorch to work with HDF5 files.
mkdocs-mk2pdf-plugin
The plugin is based on https://github.com/zhaoterryy/mkdocs-pdf-export-plugin/ ,the main change is use pandoc to convert doc to PDFs which support PDF navigation and pagenum, another change is add a download icon on the page
MONAI
AI Toolkit for Healthcare Imaging
opendatatoronto
Access data from the City of Toronto Open Data Portal in R.
pyjanitor
Clean APIs for data cleaning. Python implementation of R package Janitor
python-web-api
https://cursodepython.com.br
RecSys_Course_AT_PoliMi
This is the official repository for the Recommender Systems course at Politecnico di Milano.
response-surface-pareto
Tool for creating a tradeoff curve (Pareto front) for two competing design requirements by fitting a response surface to design of experiments (DOE) data.
scikit-lego
Extra blocks for scikit-learn pipelines.
SMS-Spam-Collection
NLP project. EDA and Machine learning pipelines. Our goal is to predict if a message is spam or not.