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Hi, I'm trying to run this example: Tensor-cell2cell-PBMC.ipynb
with c2c.__version__ = '0.7.3'
But at this step:
fig, error = tensor.elbow_rank_selection(upper_rank=25,
…
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Instead of using a modified version of PCA, maybe we want to look into [truncated SVD](http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html).
via, @glemaitre
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Currently PyTorch has a spectral matrix norm implementation based on power iteration hidden inside the SpectralNorm. Since new `torch.norm` supports matrix norms (e.g. nuclear norm), it may be good to…
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Hello,
I am looking to create a function that uses a truncated SVD and take the gradient for a complex input (but has a real output).
I find that with Zygote this works fine for real inputs, but d…
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Transform each of the abstracts of the authors through the Tf-Idf -> truncated SVD and then average. Now, it puts all abstracts together in a big text and does the transformation.
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I train a model for face detection and it works well until I compress it by truncated SVD. I use the compress.py provided by faster-rcnn and modify faster_rcnn_test.pt to its svd version:
faster_rcnn_…
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According to Wikipedia page for LOBPCG, it is possible to compute truncated SVD of a matrix A using LOBPCG as well without explicitly forming A'A. Would it be a good idea to implement this feature?
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Using [truncted SVD](https://github.com/JuliaLinearAlgebra/TSVD.jl) for whitening gives huge speedup for me, could be done by replacing the following [code](https://github.com/JuliaStats/MultivariateS…
ghost updated
4 years ago
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When initializing MatrixDepot, there are two errors appearing. I have tried removing and adding the package again without any success.
```
$ julia
_
_ _ _(_)_ | Docu…
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[] Truncated SVD is used for dimensionality reduction in order to account for scaling -> right now the ratio is 1/5. Is this optimal? What are things to consider for the future
[] Titles are duplicat…