ewijaya/gflownet-peptide

GFlowNet-based therapeutic peptide design. Generates diverse, high-quality candidates (5.4x better diversity vs PPO/GRPO) to reduce correlated wet-lab failures. Published method with pre-trained models. Validated on FLIP & Propedia benchmarks.

22
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 3 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

3

Forks

Language

Python

License

MIT

Last pushed

Feb 25, 2026

Commits (30d)

0

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