Data and code from COVID-19 machine learning paper

Last update: Dec 22, 2022

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Overview

Machine learning approaches for localized lockdown, subnotification analysis and cases forecasting in São Paulo state counties during COVID-19 pandemic.

Sara Malvar, PhD and Julio Romani Meneghini, PhD

Department of Mechanical Engineering, Escola Politécnica, University of São Paulo. Av. Professor Mello Moraes 2231, São Paulo, Brazil.

This repository presents the data, data dictionary and codes used in the analysis of COVID-19 in the State of São Paulo.

DATA: database used in the analysis after cleaning process and data wrangling. This folder also contains the dictionary of variables and their sources.
CLUSTERIZATION: notebook and database of clusterization process.
BENFORD: notebook and databse used for Benford analysis.
LSTM: notebook of neural network for prediction

Owner

Sara Malvar

PhD in engineering, researcher, mentor and instructor. Machine Learning Research Software Eng. @ Microsoft.

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Data and code from COVID-19 machine learning paper

Related tags

Overview

Machine learning approaches for localized lockdown, subnotification analysis and cases forecasting in São Paulo state counties during COVID-19 pandemic.

Sara Malvar, PhD and Julio Romani Meneghini, PhD

Owner

Sara Malvar

This repository provides the official code for GeNER (an automated dataset Generation framework for NER).

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

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NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

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Data and code from COVID-19 machine learning paper

Related tags

Overview

Machine learning approaches for localized lockdown, subnotification analysis and cases forecasting in São Paulo state counties during COVID-19 pandemic.

Sara Malvar, PhD and Julio Romani Meneghini, PhD

Owner

Sara Malvar

This repository provides the official code for GeNER (an automated dataset Generation framework for NER).

THIS IS THE **OLD** PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available actions

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

Official repository for the paper "Instance-Conditioned GAN"

JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python

Predict and time series avocado hass

Seeing Dynamic Scene in the Dark: High-Quality Video Dataset with Mechatronic Alignment (ICCV2021)

Code for the Convolutional Vision Transformer (ConViT)

Continuous Conditional Random Field Convolution for Point Cloud Segmentation

Myia prototyping

The official implementation of Equalization Loss v1 & v2 (CVPR 2020, 2021) based on MMDetection.

This is the code repository for the paper A hierarchical semantic segmentation framework for computer-vision-based bridge column damage detection

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Some methods for comparing network representations in deep learning and neuroscience.

Self-Learned Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence

Official code for 'Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentationon Complex Urban Driving Scenes'

Parametric Contrastive Learning (ICCV2021)

Mini-hmc-jax - A simple implementation of Hamiltonian Monte Carlo in JAX

This repository provides a basic implementation of our GCPR 2021 paper "Learning Conditional Invariance through Cycle Consistency"

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD: