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**Is your feature request related to a problem? Please describe.**
Build a deep learning model to predict future movements in interest rates based on historical data and economic indicators.
**Des…
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Hey,
Great work with the repository. But a wrapper code that allows users to observe the implemented attention techniques in practice would be a great addition to this repository.
Have a great d…
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### Feature request
The current implementation of the LLAMA model in the Hugging Face Transformers repository supports self-attention layers as per the standard design of transformer models. I prop…
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When I read the code in your nice_stand.py file, I didn't see you using self-attention or graph attention mechanisms, but you describe this part in your paper
![图片1](https://github.com/eeyhsong/NICE-…
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Currently, encoder-decoder models lack support for Grad-CAM (Gradient-weighted Class Activation Mapping) visualization with cross-attention mechanisms. Grad-CAM is a valuable tool for interpreting mo…
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### Model description
"Attention Is All You Need" is a landmark 2017 research paper authored by eight scientists working at Google, responsible for expanding 2014 attention mechanisms proposed by Bah…
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## Supplementary Material: Data Synchronisation in ONE Record
With the ongoing implementation of ONE Record, which provides a robust framework for data sharing within the air cargo industry, buildi…
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Hi! I'm trying to use these sparse functions as an alternative to the softmax function in the attention mechanisms of transformers. However, the loss becomes NaN in the first iteration... Do you know …
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Hi author, you have done a great job and I am very interested in the work you have researched. I have some doubts about the attention aspect of the paper. The group attention designed in the paper div…
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TypeError Traceback (most recent call last)
Cell In[21], [line 4](vscode-notebook-cell:?ex…