policy
gflownet-peptide
ewijaya · PyTorch
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Overview
Name
gflownet-peptide
Author
ewijaya
Framework
PyTorch
License
MIT
Skill type
manipulation
Evidence level
untested
Task description
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.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Datasets that reference this policy
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