/tools/CELL-E_2
CELL-E_2
BoHuangLab/CELL-E_2
summary
CELL-E 2 is a multimodal transformer model designed to translate protein sequences into images and generate images based on protein data. It provides functionalities for both image and sequence prediction, making it a useful tool for protein design and analysis.
description
Multimodal encoder-only transformer model for image-based protein predictions
topics
artificial-intelligenceattention-mechanismdeep-learninggenerative-ailanguage-modelingmulti-modalprotein-designprotein-sequencespytorchtext-to-imagetransformers
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