x-transformers and self-attention-cv
About x-transformers
lucidrains/x-transformers
A concise but complete full-attention transformer with a set of promising experimental features from various papers
This project provides pre-built, flexible transformer models for various AI tasks. You can input text, images, or a combination to generate new text, classify images, or create image captions. It's designed for AI researchers and practitioners who want to experiment with advanced transformer architectures without building them from scratch.
About self-attention-cv
The-AI-Summer/self-attention-cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
This is a set of building blocks for computer vision engineers to implement advanced image processing. It helps in developing custom models that analyze visual data by providing ready-to-use self-attention mechanisms. Computer vision researchers and deep learning practitioners can use this to build and experiment with novel image classification and segmentation architectures.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work