MolSets
importedtherapeutics/molsets
Molecular graph deep sets learning for mixture property modeling.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/Henrium/MolSets
- Documentation
- unknown
- Tags
- cheminformatics · electrolytes · graph-neural-networks · machine-learning · molecular-modeling
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- bayesian-flow-network-for-chemistrycheminformatics · molecular-modeling
ChemBFN: Bayesian Flow Network Framework for Chemistry Tasks. Developed in Hiroshima University.
- buildamolcheminformatics · molecular-modeling
A fragment-based molecular assembly toolkit
- gninacheminformatics · molecular-modeling
A deep learning framework for molecular docking
- MolecularGraph.jlcheminformatics · molecular-modeling
Graph-based molecule modeling toolkit for cheminformatics
- ReLeaSEcheminformatics · molecular-modeling
Deep Reinforcement Learning for de-novo Drug Design
- sensaascheminformatics · molecular-modeling
Shape-based alignment of molecules using 3D point-based representation
- api.github.com/repos/Henrium/MolSetsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-01-28, 35 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/46.json→ .entries["molsets"]
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