-
Hi,
Thanks for this very helpful code.
I run it with the default arguments using the model from
./code/good_models/desnet300_cosine.pth
The best AUC that is printed is
AUROC: 49.04454277…
-
Hi! I have tried to train the Leopard model only on the DNA seq of reference genome and remove the DNase-seq / delta DNase out from the input feature. However, the prediction result only gives the val…
-
Hi!
Thanks for sharing your great work! I have some questions to ask you.Thank you very much!I used the chestx-ray14 dataset for training with a batch-size of 48 and an epoch of 20. At the same time,…
-
-
-
Microsoft pre-released the Explainable Boosting Machine 2 weeks ago:
https://github.com/microsoft/interpret
It has very promising performance profile
| Dataset/AUROC | Domain | Logistic Regr…
-
I probably took a look at your code and it seems to do so.
-
Thanks for your excellent work!
Recently I use the code to train my custom dataset, and I try to calculate the AUROC of localization performance.
In the Line 25 of file fanogan/save_compared_images…
-
Great work, thank you to you and your team!
I have some questions:
- When will the smaller model you mentioned in the paper be released and what are typical use cases for the large vs. small model…
-
### 🐛 Describe the bug
Hello esteemed pyg developers,
Trying to train the following simple model:
```
class LitSegger(L.LightningModule):
def __init__(self, model):
super().__i…