Algorithmic Molecules
A robust and easy-to-understand framework for molecule generation, target to find a balance between modularization and flattening.
Pinned Loading
Repositories
Showing 6 of 6 repositories
- GraphBFN Public
This is the repo for the code of ICML25 "Smooth Interpolation for Improved Discrete Graph Generative Models"
- ProfileBFN-pro Public
Implementation for ICLR 2025 oral paper "Steering Protein Family Design Through Profile Bayesian Flow"
- GeoBFN Public
Implementation for ICLR2024 Oral paper "Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks"
- MolFM Public
Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
