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Ursprüngliche Ergebnisse des Autoencoders konnten im neuen Framework nicht reproduziert werden.
Deshalb Suche nach funktionsfähigen Konfiguration.
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## 🐛 Bug
`AE.from_pretrained` fails on windows because using `os.path.join` on a web url.
In `\pl_bolts\models\autoencoders\basic_ae\basic_ae_module.py`
```
pretrained_urls = {
'cif…
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Dear Bastian and your team,
Thank you all for the this project!
I am trying to build the topological gin following the receipt of your graph filtration learning and topological GNN papers (Grea…
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I am having trouble installing this via github pull. I think I installed the dependencies correctly. This is my terminal output, sorry there is loads of it but I wasn't sure what was relevant:
Last…
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## SimMIM: A Simple Framework for Masked Image Modeling
18.11.2021
https://arxiv.org/abs/2111.09886
https://github.com/microsoft/SimMIM
Similar architecture as [MAE](https://arxiv.org/abs/2111…
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I understand that the native autoencoder AE101 is a resnet autoencoder, but I wanted to clarify what is the expected input dimensionality for this?
is it 224x224 or 512x512 ? Also like the resnet …
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A list of further material for the learners would be helpful. We should make a list of documentation, videos, blogposts and or papers that learners can use after each episode.
Perhaps we can also a…
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Hi,
Are there any example results with your pretrained autoencoder? I tried it with CheXpert but its decoded images were mostly gray. Wondering if there is an example and I might be missing some pr…
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@Jeong-Junhwan @ryubright
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I want to use this kind package with image data, how do I take input? Would converting it into a numpy array and feeding it work? I am also having issue with the 'Data' and 'Target' labels