semvec/pypi-packages huggingface dataset:
complex-attn 0.0.3
ct - Pytorch
License: MIT
Requires Python: >=3.6,<4.0
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering

[![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)

# Complex Transformer
The open source implementation of the attention and transformer from "Building Blocks for a Complex-Valued Transformer Architecture" where they propose an an attention mechanism for complex valued signals or images such as MRI and remote sensing.

They present:
- complex valued scaled dot product attention
- complex valued layer normalization
- results show improved robustness to overfitting while maintaing performance wbhen compared to real valued transformer

## Install
`pip install ct`

# License
MIT