Implementation of the π Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones
What is the lucidrains/halonet-pytorch GitHub project? Description: "Implementation of the π Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard β paste it after the AI opens.
Clone via HTTPS
Clone via SSH
Download ZIP
Download master.zipReport bugs or request features on the halonet-pytorch issue tracker:
Open GitHub Issues