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Monte Carlo Dropout is a simple way of adding uncertainty for modeling extreme/unexpected events and for anomaly detection.
- Easy to implement.
- Also provides a way for NN's to calculate confi…
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```mermaid
graph LR;
A[Climate change]-->B[Extreme weather];
B-->C[Significant impact];
C-->D[Health outcomes];
A-->D;
```
- The link between climate change and health outcomes would be…
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Biggest One: a new name!
Can we change the url by tomorrow so I have time to change the links on our website and the curriculum?
Something more fitting to its content... like:
https://climate-curri…
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### Please select a category the issue is focused on?
Documentation
### Let us know where something needs a refresh or put your idea here!
We've had feedback from Roche users that the ADTTE v…
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Issue:
---
Error seen while running the config tool from master: `ModuleNotFoundError: No module named 'notebook.auth'`.
```
configure jupyter notebooks
Defaulting to user installation becau…
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Dear Prof. Proust-Lima (@CecileProust-Lima, @VivianePhilipps)
First of all, thank you so much for this amazing package!
I am currently working with the `lcmm` function in R, using the threshold…
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I'm using the "neuroim" package from CRAN and the function `connComp3D()` for identifying connected extreme events in climate impacts (the mask is here where vegetation productivity is below a certain…
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@ethrane and @kauchettl propose this as a key question. This question would cover topics like tidal disruption events, black holes + neutron stars, gravitational waves, supernovae, fast radio bursts i…
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The hours volunteered calculation doesn't currently take into account the length of the event.
If an event is 1 hour, for each of the Restarters it should count as 1 hour of volunteer time.
When we …
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The event dates accept extreme dates such as year 0001 and year 9999, which is highly likely impossible to be valid dates. Perhaps a range should be implemented for the dates accepted for events.
![S…