Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

State of the art? #4

Open
lucidrains opened this issue Mar 6, 2020 · 2 comments
Open

State of the art? #4

lucidrains opened this issue Mar 6, 2020 · 2 comments

Comments

@lucidrains
Copy link

Hi! Thanks for your great work. I was wondering if this pre-trained network is state of the art or close? I am interested in doing some pre-training with biological sequences, and could use some guidance. Thank you!

@djinnome
Copy link

djinnome commented Mar 6, 2020

Hi @lucidrains
Genomic-UMLFiT is a good guide for pre-training with genomic sequences. If you are interested in guidance for pre-training protein sequences, I would recommend Unified rational protein engineering with sequence-based deep representation learning. You can download their pre-trained models here.

@lucidrains
Copy link
Author

@djinnome Thanks for the response! I'm actually interested in both, and I'm aware of both UniRep and Berkeley's TAPE for protein sequences

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants