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Is it okay to use different criterions in the training phase and visualization phase?
Also, what other criterions can be used ?
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The user story should be self-contained and have no inherent dependencies on other stories
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With graphs
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We want an example of a trace to pass/fail each QC criterion, in the automated test suite.
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### Link to the coursework
https://programming.codeyourfuture.io/user-data/success/
### Why are we doing this?
## 🔑 The most important thing is that you are secure in your understanding.
At the e…
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The notebook claims that the result of PDHG will look the same as the result of FISTA
However, this is what I get with PDHG:
![Image](https://github.com/user-attachments/assets/f8624ac3-123d-4f1b-b9…
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I am encountering a ```FloatingPointError``` between steps 43K and 48K while training the LGR-SMoE model on the OPUS-100 dataset for a total of 200K steps. The issue halts the training process, and I'…
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This is not a recent regression, and perhaps it won't be fixed for that reason, but I thought I'd file it anyway.
I maintain Go bindings for this library, and by sheer luck I had benchmarks when I …
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Thanks for sharing the code. I have a question about the line 25 in adapt.py (criterion = nn.CrossEntropyLoss() ). Since nn.LogSoftmax() is added in discriminator.py (line 21). Is it correct to use Cr…
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WCAG2ICT guidance: https://www.w3.org/TR/wcag2ict-22/#consistent-help
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