openmedical/registry
← registry

chemprop

imported

therapeutics/chemprop

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
active-learning · bayesian-optimization · chemistry · drug-discovery · evidential-deep-learning · molecule · neural-network · uncertainty
Regulatory
unknown
built by · 6

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • bofireactive-learning · bayesian-optimization

    Experimental design and (multi-objective) bayesian optimization.

  • summitbayesian-optimization · chemistry · drug-discovery

    Optimising chemical reactions using machine learning

  • SOBERbayesian-optimization · drug-discovery

    Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration

  • chemistry_drawerchemistry · molecule

    Draw molecules with plotly!

  • Kekule.jschemistry · molecule

    A Javascript cheminformatics toolkit.

  • MolecularGraph.jlchemistry · molecule

    Graph-based molecule modeling toolkit for cheminformatics

sources
  1. api.github.com/repos/aamini/chemprop
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2021-07-29, 135 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 →

machine-readable

/v1/entries/45.json→ .entries["chemprop"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.