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Dear team,
Thanks a lot for providing scGPT for biological researchers. You provide a tutorial for perturbation prediction using Adamson or Norman's datasets. However, I am still confused about h…
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**Short description of the diagnostic**
Calculation of radiative fluxes based on the Approximate Radiative Perturbation method (Taylor et al., 2007, https://journals.ametsoc.org/doi/pdf/10.1175/JCL…
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Hi! Another issue - also happy to help fix this one if a quick PR is helpful. I was doing some testing of a single perturbation before starting a long run of them, and found that when perturbations al…
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Advantages:
1. Probably the easiest and quickest to setup
2. Realistic evolution
Disadvantages:
1. Lots going on apart from the NAO,
2. No control simulation to remove drift/other sources of variabi…
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Hi, sir! I found that the poisoned images generated for one class (class 9) in CIFAR-100 are completely black. What could be the reason for this?
EhanW updated
3 weeks ago
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In the [tutorial on how to use poliastro's perturbation utilities](https://docs.poliastro.space/en/stable/examples/Natural%20and%20artificial%20perturbations.html) all the custom perturbation function…
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Hi,
Thanks for creating a PyTorch version of your code!
I saw that in you Cifar example you use the adaptive perturbation rather than the traditional perturbation. However, in figure 5 of you pa…
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(This is a feature request not a bug.)
Following discussions with @pirbo and @plucky, it would be great to have a more flexible perturbation language in Kappa that allows for stochastic perturbati…
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i have tried feature_perturbation="interventional" whit backgrouddata and feature_perturbation="tree_path_dependent" without backgrouddata in TreeExplainer, the first example was very slow and finally…
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Hi,
Regarding the tutorial on OOD perturbation prediction on Kang: https://colab.research.google.com/github/theislab/cpa/blob/master/docs/tutorials/Kang.ipynb
I don't get model.predict(adata) b…