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hello~ Thank you for your great work! Did your submission go well? I would appreciate it if you could release your code soon. Thank you a lot!
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First of all, thank you so much for releasing the Parametric UMAP it works like dream. now I am able to project the unseen data in just a sec and it really helps with my use case.
Currently, I have…
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I would find it useful to have an example of convolutional auto-encoder. Would a tied max un-pooling layer be necessary, using switches from its twin pooling layer to keep track of argmax'es (as in Ze…
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Do a literature on Layout + OCR + KV
https://docs.google.com/spreadsheets/d/1bBCp9b9eI6BoiDnjxNMkd0EexMPGJNJ2ZRinzG3E0J4/edit?usp=sharing
Question: Tại sao không theo hướng spectral mà theo hướng…
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## 🚀 Feature
I suggest torch teams to add 'Sparse Convolution' as default nn module.
## Motivation
I want to use Sparse Convolution without external libraries like 'SPConv', 'Mincowski Engine',…
demul updated
3 years ago
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Hi @jalused ,
Thank you so much for your code. After modifying it to fit with Keras 2.0, I think it works perfectly, except for one problem. I could not reproduce the picture with the same colormap…
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* [Link](https://journals.aps.org/prx/pdf/10.1103/PhysRevX.8.011006)
* Title: Neural-Network Quantum States, String-Bond States, and Chiral Topological States
* Keywords (optional):
* Authors…
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Hello,
I hope this message finds you well. I recently came across your open-source code repository for the paper Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolut…
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A lot of people are using these excellent tutorials as a base to write their gluon code. I think it could be good to have the dataloaders by default using multiprocessing for loading:
```
import mul…
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Hi There!
I'd like to better understand spectral convergence loss. In the literature, these are the mentions I have found so far:
> SC loss emphasizes highly on large spectral components, which …