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This is a re-post of an [issue in ert-examples](https://github.com/equinor/ert-internal-examples/issues/116), because testing properties of the update should be done in ERT or IES repositories. When i…
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By default, `pandora` computes the log likelihood of minimizer kmers in a PRG to find the maximum likelihood path using a Negative Binomial distribution where the number of successes (`negative_binomi…
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hello
@LTH14
I am re-training MAR on Imagenet Dataset, and evaluate checkpoint on the epoch 1. However, the image sampled from epoch-1 is black. I want to know why?Does it means the epoch I used i…
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Sometime when sampling from complex models, it would be handy to provide a list of kernels to tfp.mcmc.sample_chain instead of just one. As a simple example, suppose I have a joint probability distri…
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User story:
As an experimenter I can define overall spawning rules for the map: whether objects are randomly placed or clumped.
[Note: this may have elements in common with the wall-building alg…
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**Is your feature request related to a problem? Please describe.**
EnsembleSeries.wavelet() performs a wavelet transform for all members of an ensemble, but there is currently no way to summarise/vis…
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I first thought about opening a PR, but figured it could be discussed first. In particular I wonder if we want to simply replace the old entropy equation, or include a new section to compare different…
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Is there an efficient way to sample an artificial datapoint from a given likelihood function and given samples for model parameters? E.g. say that I have a logistic regression model: how can I sample …
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Hi, is it possible to use top-k entropy loss for multi-label classification problem? Which each of the gt_label can be the top-K?
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(I don't see an issue, but I thought it was mentioned before.)
Stata has accelerated failure time and proportional hazard parametric survival models. Implementing those is a GSOC idea that doesn't …