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- kmcurvely Public
- ovo-containers Public
- PepEvolve Public
PepEVOLVE is a reinforcement learning framework for the multi-position optimization of peptide sequences. It combines a pretrained Mol2Mol generative model with a router-learner and a group-relative policy optimization (GRPO) strategy to iteratively evolve peptide candidates toward user-defined physicochemical or biological objectives.
- popPK_FitCheckR Public
- qb-qbcds-coast Public
Causal Intelligence for Constraint-Aware Intervention Design to Induce State Transitions
- teal-agents Public
- MGtree Public
- oncoPoS Public
oncoPoS performs Probability of Success (PoS) calculations for a phase 3 oncology study using a Bayesian Hierarchical model. The prior in this model is based on the data observed in an earlier study, design features for the phase 3 study that is being assessed and the industry benchmark for success.
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