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chemprop

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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.

chemprop project image
GitHub preview card for aamini/chemprop. Served by its origin, not stored here, and not covered by this registry’s licence.
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.

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  • MT-ENetdrug-discovery · evidential-deep-learning

    Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022

  • bofireactive-learning · bayesian-optimization

    Experimental design and (multi-objective) bayesian optimization.

  • summitbayesian-optimization · chemistry · drug-discovery

    Optimising chemical reactions using machine learning

  • DeepB3P3drug-discovery · uncertainty

    Masked peptides for low-data peptide drug discovery (BiB 2023)

  • chempleterchemistry · drug-discovery · molecule

    Chempleter is a lightweight generative model to predict syntactically valid extensions of molecular structures.

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"]

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