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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on network, graph, or tabular data.
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Is there a way to perform operations such as transpose and reshape on C# tensors similar to how these operations can be done to numpy arrays or tensors in python?
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https://conf.researchr.org/track/icse-2021/icse-2021-papers#event-overview
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https://doi.org/10.1101/170761
> How to extract informative features from genome sequence is a challenging issue. Gapped k-mers frequency vectors (gkm-fv) has been presented as a new type of featur…
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Hello! Thank you for making up the great project.
I have used @justinjohn0306 adaptation of StyleFlow for Windows, followed every instruction, but whenever I run main.py file, it gives the followi…
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The unreasonable effectiveness of f-strings and re.VERBOSE
https://death.andgravity.com/f-re
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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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Hi there,
Thanks for sharing the pre-trained models.
I am learning the ResNets50 and have a question about the architecture. It sames that there are quite few places different with original ResNet…
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when converting models downloaded from https://github.com/KaimingHe/deep-residual-networks#models,
ended up with error:
```
Traceback (most recent call last):
File "./convert.py", line 60, in
…
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Hi, I have a theoretical question. According to my understanding, the main operations of GCN specified in the paper (Equation 1) are an adjacency matrix, a degree matrix, feature matrix, and weight ma…