| PySimpleGUI/PySimpleGUI-COVID19 |
67 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Python |
| A collection of PySimpleGUI based tools to help analyze the spread of the COVID-19 virus |
| benflips/nCovForecast |
39 |
|
0 |
0 |
about 4 years ago |
0 |
|
8 |
mit |
R |
| Code for nCov forecasting tool (Shiny app) |
| SamBelkacem/COVID19-Algeria-and-World-Dataset |
20 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| A COVID-19 dataset with 90 World countries including Algeria. |
| manujosephv/deeprenewalprocess |
19 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
Python |
| GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG] |
| PetoLau/CoronaDash |
17 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
gpl-3.0 |
R |
| COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools |
