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Hello,
I've been running few algrothms against my material (>50MB images). Do you have in your roadmap a slot to optimize the Convolution process to use direct pixel byte/int arrays (produced by Fast…
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Why do we need pad audio fragment while receiving its mel spec?
`y = torch.nn.functional.pad(y.unsqueeze(1), (int((n_fft-hop_size)/2), int((n_fft-hop_size)/2)), mode='reflect')`
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> http://bioontology.org/ontologies/BiomedicalResourceOntology.owl\#Approximate\_Graph\_Alignment Approximate Graph Alignment
http://bioontology.org/ontologies/BiomedicalResourceOntology.owl\#Co…
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I'd like to add a fast convolution support to DaisySP. Let's discuss the requirements.
**1. Definition**
In short, it is an algorithm that allows computing linear convolution of a stream of data w…
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作者您好!最近,看了您的论文,写的很好!但我有一点小小的疑问,希望得到您的解答!
就是对幅值分量进行两组卷积操作后,我看您用的都是leakyrelu操作,所以这里是不需要将学习到的幅值限制到大于零的范围上么?
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This is analogous to this SciPy issue ( https://github.com/scipy/scipy/issues/12228 ). Though it is worth noting that SciPy has done some of the work already ( https://github.com/scipy/scipy/pull/5608…
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Things that maybe I should learn more about and/or write explainers for...
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I've a SIR model with many, many cells. They influence each other via a contact matrix. Thus for me, only a select cells are of interest.
Is there a way to suppress the output of `deriv` variables to…
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I believe `conv` is associative:
```julia
julia> x = randn(3); y= randn(4); z=randn(5); conv(conv(x,y),z) ≈ conv(x,conv(y,z))
true
```
so `conv(x,y,z)` is well-defined. Any reason not to support…
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Hi Jean,
Thank you for building up this awesome library! I would like to do MMD loss for comparing images, do you know how to do it? I saw there are ImageLoss and VolumeLoss in the documentation, d…