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I would like to use the LLR operator, and am considering making a PR.
Reference:
"Local Low-Rank Matrix Approximation" Joonseok Lee et al.
https://static.googleusercontent.com/media/research.goo…
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### Description
Data representation as a density matrix of some quantum state is widely used in Quantum Machine Learning models. In many cases, the main task is to extract the eigenvalues and eigen…
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We currently depend on chebfun for a few tasks, namely fast transforms, ultraspherical computations, and low-rank approximation of variable PDE coefficients (which should hopefully be obviated by #4).…
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### 🚀 The feature, motivation and pitch
The current PowerSGD implementation iterate over all gradient tensors, Ps, Qs, and operate on single tensor as follows:
```python
# Compute Ps.
for tens…
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Hi
Could you include support for some of the models included in this link?
https://github.com/caiyuanhao1998/MST-plus-plus
specially for higher PSNR? Restormer MPRNet MST-L MST++
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I would like test [low_rank.hpp](https://github.com/xdata-skylark/libskylark/blob/lowrank/ml/low_rank.hpp) for correctness using [low_rank.cpp](https://github.com/xdata-skylark/libskylark/blob/lowrank…
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I have a relatively low background signal in my recording, so I would like to try cnmf with no background components. I have tried to set nb and nb_patch to 0, -1, and -2, but when trying to run:
`…
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Up to now, when running pyPCGA twice or more with the same parameters, the results are slightly different each time.
This is what I attribute to the covariance matrix low-rank approximation relyin…
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I know that Strumpack uses LU and Cholmod uses LLt and it is a bit unfair comparison. However, I would like to find an example where using Strumpack would be much more beneficial than using Cholmd in …
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Can you consider implementing LASER on three-dimensional tensors? For example, use this method for the conv3d architecture.