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The topic of computing the EWE has come up several times. As its computation is straightforward but not trivial, I would offer to add a utility function here to compute it, then a user can automatical…
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Setting up Tflite and Pytorch model running on RPI with easy to use on PC aswell
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Yarin Gal's thesis demonstrated that by allowing dropout during prediction, not just training, a set predictions can be produced and then analyzed to reveal model uncertainty (the quantiles of the pre…
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Thank you for releasing the code!
I attempted to reproduce the reported results on cifar10. The best run gave an accuracy of 46% with your default setting, which is quite far away from the reported…
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> I also tried ggeffects a while ago and noticed that it does not handle nlme objects (at least as I expected). The function 'nlraa::predict_nlme' produced confidence bands and could be called by 'gge…
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I am using 3 clients to train a model using the following parameters in the clients:
data=./mydata1.csv
test_data=./mytest_data.csv
model_path=mymodel.model
n_parties=3
data_format=csv
n_featu…
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Thank you for sharing your great job !
How can we detect the edge of our own jpg or png files? Can we directly use the pre-trained model?
Thank you for your suggestions!
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Q predicitons with MSE cost function often explode when the policy gets stuck
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Here describes why are you proposing this to do , in which context and which literature are you using for this.
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I recently discovered unexpected behavior of `glmmTMB:::predict.glmmTMB()` when obtaining population-level predictions (i.e., setting random effects = 0) when the model was fitted `REML = TRUE` and an…