memilio
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Modular spatio-temporal models for epidemic and pandemic simulations
### Feature description First, we want to create simple GNNs that can make predictions for all 400 counties without any changes in contact pattern. Each county is represented by a...
### Feature description In #850 we propose our first attempts in designing GNNs for our task. We want to ensure that the model achtiectures are not chosen randomly but after...
### Feature description After developing our first GNNs in #850 and detecting the best architecture and hyperparameters in the grid search in #851 we want to test whether these models...
### Feature description In the first implementations of NNs for one population, we randomly chose a model architecture and hyperparameters which by chance performed well. Now, we want to analyze...
## Merge Request - GuideLine Checklist **Guideline** to check code before resolve WIP and approval, respectively. As many checkboxes as possible should be ticked. ### Checks by code author: Always...
In order to better detect bottlenecks or time consuming code parts, time measurement should be enabled / integrated. The question remains how we would like to do this. A simple...
### Motivation / Current Behaviour _No response_ ### Enhancement description We should add a Scorep profile for measuring the performance of the ABM. This includes a filter-file that filters all...
### Motivation / Current Behaviour Across the library, we still have a lot of inconsistencies and minor corrections that we would like to do. They are - across models: some...
### Motivation / Current Behaviour The ABM needs to be run manually. It would be better if it was run automatically and compared with previous results. ### Enhancement description Add...
After the functionallity of transformNPIData.py is checked in #414 , tests should be added.