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#### Describe the issue linked to the documentation
There is some discussion going on about the usefulness of some (if not all) over / under sampling methods implemented in the imbalanced learn pac…
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### Is your feature request related to a problem or challenge?
It is helpful to have sampling support for queries to ease the exploration of data.
### Describe the solution you'd like
It should be …
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Sampling methods for collections are very flexible, not a bit fuzzy and not documented. We can settle on some basic types & fields to re-use in the backend & frontend & documentation
- Manually cur…
mihow updated
3 months ago
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### Presentation of the new sampler
Nested sampling [[Skilling]](https://projecteuclid.org/journals/bayesian-analysis/volume-1/issue-4/Nested-sampling-for-general-Bayesian-computation/10.12…
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Does dynet provide random sampling functions such as sampling an element from a distribution of softmax?
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Justify sampling approaches to compare.
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It was decided in the Arctic Data Center science advisory board meeting that we should add a field in the sampling section for a citation. From the EML specs:
> The citation field allows to either…
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Currently only the "greedy" sampling is implemented (the token with the highest probability is selected).
Implement other sampling methods, some options are:
* top-p
* top-k
* temperature (her…
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## Neighbourhood Sampling Module
This issue was created to discuss the API and design goals of the sampling module in `openDG`.
### Design Goals
_Provide efficient sampling primitives over te…
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Hello authors,
We appreciate the use of downstream face recognition comparisons as a valuable metric for evaluating face restoration methods. However, neither Chimitt and Chan (authors of the paper…