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We should decide (1) if we want a common API for these methods and, if we do, (2) what it looks like. The main approximate then project hyper-reduction algorithms are:
- DEIM
- Gappy POD w/ differ…
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(extracted from original request #44)
Currently, there is an argument to specify sample aggregation for rates (strictly) below 1 kHz. An option to sample at e.g. the max. frequency and aggregate th…
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I found a strange phenomenon. For the same model, the same training sample and test sample, other operations are identical. Theoretically, the values obtained by using the XAI method (like Saliency) t…
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Collection of case studies of NetworkX.
### network analysis
- [network analysis of Game of Thrones](http://ericmjl.github.io/Network-Analysis-Made-Simple/05-casestudies/01-gameofthrones/)
- [net…
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Hi,
How do I ensure that the committee has a competing hypothesis? I was checking the models and all the models in the committee have the same hyper-parameters. Where does this concept of competing…
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Hello,
I was wondering what was the method behind the sub-sampling parameterized with [Number of samples (-n)](https://storm-irit.github.io/OpenGR/a00012.html).
I have a 3D scan with 50k points an…
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This is an issue that has been discussed in part several times already in other contexts. But I think it's now worth making an issue specifically about this to get extra feedback.
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There are …
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We need some extra optimisers. We should aim to add at least one implementation of each of the following:
L-M algorithm
Grid search
Genetic Algorithm
Nested Sampling
For some of them we can u…
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It could be nice to include a class that encapsulates data augmentation via Nearest Neighbour-inspired algorithms such as SMOTE (Synthetic Minority Over-sampling Technique), ADASYN etc. @tallamjr deve…