-
### 🚀 The feature, motivation and pitch
I am currently working on graph neural network applications to recommender systems. A common loss function that keeps coming is the Bayesian Personalized Ranki…
-
Are there some works or explanations demonstrating the effectiveness of self-conditioning implementation? Or it is just an empirical trick?
https://github.com/lucidrains/denoising-diffusion-pytorch…
-
Your work is outstanding, and I admire the efficiency achieved in your mamba implementation.
However, I’m concerned about its accessibility and broader adoption in comparison to transformer-based …
-
The reason to rewrite the 'class LayerNorm(nn.Module)' is that you think the layer normal provided by PyTorch only supports 'channels_last' format (batch_size, height, width, channels), so you rewrite…
-
### 🐛 Describe the bug
When converting `NaN` value to `int32`, the behavior of `torch.tensor` are different on different input type and different platform.
If the input is a python built-in list c…
dlibk updated
1 month ago
-
There are some implementation wrong.
Point out that the place to put the condition is different.
Add condition to output after convolution such like,
Unofficial(this repository)
+ https://gith…
-
Hello there,
first of all thanks for the implementation of the EEND system in pytorch. I am trying to run the large model with simulated data and it turns out that the model occupies more than 20GB …
-
## 🚀 Feature
The `Optimizer.__repr__` implementation (originally added in https://github.com/pytorch/pytorch/issues/4362) does not adhere to what `__repr__` is supposed to be, instead, it's more ap…
-
## 🚀 Feature
Following [numpy implementation of fromfile](https://numpy.org/doc/stable/reference/generated/numpy.fromfile.html), I propose we add support for reading through the whole file via a `s…
-
**Is your feature request related to a problem? Please describe.**
It is not clear if the current method used for language translation is the best approach.
**Obs.:** Is there have any document or…