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I'm trying to replicate some experiments from the paper: "Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals " (mainly figure 3) but I'm not sure how is GreedyCDL supported for…
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I think we can produce a significant speedup in our execution of LCA. Since most of the neurons in any LCA computation are below threshold for most of the display period, perhaps we could just ignore…
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Hi, rgoroshin!
Is this project an implement of "Learning Fast Approximations of Sparse Coding"?
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## 🚀 Feature
support mainstream pruning techniques.
## Motivation
Recently, lots of new pruning algorithms are proposed, but the [current implementation](https://github.com/pytorch/pytorch/blob/4…
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ML Top:
- [ ] [Deep Learning School 2016: Individual Talks](https://www.youtube.com/playlist?list=PLrAXtmErZgOfMuxkACrYnD2fTgbzk2THW)
- [ ] [Online Course on Neural Networks](http://info.usherbrooke…
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Spring 2022:
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I'm trying to write out the GaborMorfSplitter and I'm wondering if we might converge on a consistent API naming scheme for purposes of generalizing from a Base Oblique Splitter:
We start off with o…
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Post your questions here about: “[Training and Taming Deep Networks](https://docs.google.com/document/d/1gne-oWcJs1p5sEjUumapq6HKeaOet3EHxJ-Ij0LuTro/edit?usp=sharing)” & “[The Expanding Universe of De…
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The cash bias in the network output (omega) always appears to be zero, even under conditions where it seems holding some cash would be better (i.e., bear markets, or when all traded markets are perfor…