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Currently, Yao can support GPU computations, via [https://github.com/QuantumBFS/CuYao.jl](https://github.com/QuantumBFS/CuYao.jl). Does FLOYao have the same capabilities, and if not, can it be impleme…
p-luo updated
6 months ago
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## PyTorch 1.11
Currently, cuSPARSE is already used in PyTorch for some operations with COO sparse matrix format. Internally COO indices are converted to a low-level CSR representation that is used…
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Mainly parking a issue and references. I was just skimming parts.
In treatment effect we use GMM for cov_params which is a robust cov_type.
If we want nonrobust cov_type, then we need to skip some…
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## Basic Problem
When I ran a grid search for optimizing the Savitzky-Golay filter parameters, I found that for high `polyorders`, the coefficients from `scipy.signal.savgol_coeffs` are numerically i…
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This is a great tool! I'm working on a project where we need to estimate the density of eigenvalues of a large Laplacian matrix. Reading your paper, this looks like a useful way to speed up our comput…
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I'm unsure of whether this is the desired behaviour (in which case perhaps it ought be documented), or if this is just a bug. To me, I think it is a bug.
Running the following numerical rank computat…
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- `aba` now computes the acceleration and forces, no need to do it manually anymore when there is no constraint
- armature are taking into account into algorithms, through `model.armature`. No need t…
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Currently (v0.1.0 and v0.2.0) the `pdist` implementation does a good job of dropping chunks that are complete duplicates of things already computed. However chunks that contain some new computations a…
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If you do a big computation with `BigInt`s like
```
function test_hm(rtype,rank)
m=[rtype(1)//(n+m) for n in 1:rank, m in 1:rank]
one(m)==m*inv(m)
end
```
Then
`test_hm(BigInt,100)`
takes about …
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Hi Zachary,
I’m new to network analysis and would like to use Spiec-Easi to generate a “inter-domain” network.
I have two data sets (both compositional) – one with microbial ASVs (350 ASVs, “MIC_S…