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Hello,
I'm trying to create a new loom file after making edits to an existing one (the adult mouse brain dataset from [Mousebrain.org](http://mousebrain.org/downloads.html),`L5_All.loom ` ).
H…
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Based on the results shown in https://github.com/peterrum/pf-applications/pull/383#issuecomment-1383215378, one sees that a significant fraction of time is spent setting up the preconditioner. With ht…
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As often abundance data matrices are full of zeroes, it could be useful to allow `otu_table(physeq).@Data` slot to accept also _sparse_ matrices, I'm thinking to `dgCMatrix-class`.
Is it feasible? Wou…
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It would be _really_ handy to have native MLX support for creating sparse diagonal matrices (which are memory efficient for large problems) on the fly and important for many engineering problems.
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We know that R is not good at dealing with sparse matrices. In order to make the methods turn fast, currently me and @alex-d13 are working with reduced single cell datasets (< 20k cells), from which t…
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Hey, if I do this:
```
a = sprand(10^6, 10^6, 1e-6)
a = a + a' #So it's invertible
a = a + speye(10^6) #So it's invertible
b = rand(10^6)
c = Array(Float64, 10^6)
@time CUSOLVER.csrlsvlu!(a, b, c, …
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### 🚀 The feature, motivation and pitch
Despite not being explicitly documented, [`torch.triangular_solve`](https://pytorch.org/docs/stable/generated/torch.triangular_solve.html) appears to support…
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Following a discussion on slack about sparse matrix format interfaces (https://julialang.slack.com/archives/C6A044SQH/p1715862033197389) I would like to bring up the discussion again here on GitHub, a…
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Currently, KernelExplainer only supports pandas dataframe and numpy matrices. It should be extended to support `scipy.sparse.csr.csr_matrix`
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Would it be possible to add support for scipy sparse matrices when observing variables. I have a situation where the state space for an observed (multinomial) node is large but the number of states ob…