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Hi, thank you for a great paper.
I would like to ask some questions.
1/ About the training code for [Slide-Level Classification](https://github.com/mahmoodlab/HIPT#weakly-supervised-training--eva…
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I converted model using dpt_scriptable branch,
like this:
```
model.eval()
if optimize == True and device == torch.device("cuda"):
model = torch.jit.script(model)
mod…
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Hi @himashi92,
fist of all thank you very much for your great work!
I would have a question regarding how you coped with the issue of having only very limited training data available (MSD liver: 8…
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Device: Vontar X96S_P 2/32 android stick
Android version: 9
Magisk version name: 25.2
Magisk version code: 25200
CPU: Amlogic S905Y2 (quad-core)
Magisk manager shows that this device (at le…
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Device: Vontar X96S_P 2/32 android stick
Android version: 9
Magisk version name: 25.2
Magisk version code: 25200
CPU: Amlogic S905Y2 (quad-core)
Magisk manager shows that this device (at le…
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Device: Vontar X96S_P 2/32 android stick
Android version: 9
Magisk version name: 25.2
Magisk version code: 25200
CPU: Amlogic S905Y2 (quad-core)
Magisk manager shows that this device (at le…
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Dear all,
I had trouble running a prediction with updated pdb_seqres.txt files since some entries contain unusual DNA residue names, PDB code 7ooo, 7oos and 7ozz. These nucleic acids are modified res…
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The model is ready but unused.
It requires adding another model and another opt_state to train state.
For simplicity I'd suggest probably using same params as for the main model except probably fo…
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I'm trying to run some experiments with Stable DreamFusion but I am struggling to get it to work. All seems to be going well until I get to the training section. That's where I keep running into issue…
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VITS Training on CSMSC corpus from scratch, but bad performance on rhythm at the beginning of every sentences，the first words cannot synthesis well, and also with the end words on every sentences.
…