Protein sequence generation with diffusion models
Last Updated: 2023-09-23
This repository integrates state-of-the-art diffusion models to generation protein sequences.
Highlights
- Diffusion for discrete data
- Conditional diffusion with desired properties
Integration Status: Completed
Code base complete. Final clean-up of individual files.
Framework integration in the folder diffusionLM_prot
References:
Li, X., Thickstun, J., Gulrajani, I., Liang, P. S., & Hashimoto, T. B. (2022). Diffusion-lm improves controllable text generation. Advances in Neural Information Processing Systems, 35, 4328-4343.
Original Paper | Original Repository
Diffusion-LM. (Source of figure: Li et al., 2022)
