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Should we have a section about context-invariant training? e.g. invariant risk minimization, Dropout on context features, etc.
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Function values allow for anonymous functions and declared name functions.
Also, cool features that would be useful (some stolen from Dafny):
- preconditions
- postconditions
- invariants? (on…
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Wafer Map Defect Pattern Recognition Using Rotation-Invariant Features - Rui Wang and Nan Chen
[원본](https://github.com/2020-iuc-sw-skku/LSC-Systems/files/4930099/wang2019.pdf) / [요약본](https://driv…
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An implementation is prototyped [here](https://github.com/joshlf/bytes/tree/zerocopy).
The proposal is to implement zerocopy's `ByteSlice` and `SplitByteSlice` traits for bytes' `Bytes` and `BytesM…
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A big goal of this library is to be as lite as possible. Yet, there are some common and useful features that would be great for this library to have:
- a `message` can be a `string` or lazy (eg wit…
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### Feature type
- [X] Add new functionality
- [ ] Change existing functionality
### General description of the proposed functionality
There are features measured during morphological profiling t…
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Hi,
I have two questions:
1. is it possible to have additional features besides the permutational invariant?
2. is it possible to use LSTM-Layers since those require themselves 3D inputs?
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I have a dataset where one of the subjects is completely missing variance in data in one of the searchlights. That leads SearchlightHyperalignment to fail in ProcrusteanMapper
```
> /afs/dbic.dart…
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DELTA [protocol](https://github.com/delta-io/delta/blob/master/PROTOCOL.md#column-invariants) on Column Invariants Feature seems unclear/misleading:
The example provided in the doc was:
```json
…
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We had to spend a ton of time re-creating the state machine for a recent invariant project because it held internal state that our fuzzing harness couldn't directly access.
I don't know which chea…