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## 📚 Documentation
Hi PyTorch developers,
Please first let me express my gratitude for PyTorch, a marvelous deep learning framework.
I found that in the doc of PyTorch v 1.10.0, the pro…
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Hello Prof. Greg Ver Steeg,
I want to compute MI between two high dimensional continues time varying signal. their dimension are 39 and 300. It seems like this toolbox is not suitable for that. do …
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Hi, I changed the data dimension from 1 to another shape for example, 3*28*28, and modified the model similar to offered in MINE appendix.
However, I found that estimated mutual information cannot…
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Any value above k>2 for transfer_entropy method creates the following issue(for k=1|2 it works):
>>>test = pyinform.transfer_entropy(x,y,k=3)
Traceback (most recent call last):
File "C:/Users/u…
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e.g., more than 12 hours on some 40um files ... I suspect something slightly more clever is possible.
We could also allow Pydpiper users to set the number of seeds somehow, e.g., through a config…
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Thanks for sharing your code! I have some doubts and hope to communicate with you.
1. The paper contains only two class predictors. Why are there three class predictors C0,C1, and C2 in the code?
…
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#### Describe the new feature or enhancement
The simplest way to check the relation between two signals is using correlation or a similar a similar approach. However, there are connectivity indexes t…
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Hi Daniel,
Thanks for sharing your code! I'm trying to use MRMR and I'm running into some problems. Using continuous features, the mutual information keeps producing negative values. I was able to ge…
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### What happened?
I used termux to compile llama.cpp with gpu. and i found that the response speed has been slower and they are all errors。
like:
![image](https://github.com/ggerganov/llama…