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openpom

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therapeutics/openpom

Replication of the Principal Odor Map paper by Brian K. Lee et al. (2023).

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

openpom project image
GitHub preview card for ARY2260/openpom. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cheminformatics · deep-learning · olfaction · python · pytorch
Regulatory
unknown
built by · 2

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.

  • AromaNexuscheminformatics · olfaction

    Provenance-aware integration for odorant, flavor-molecule, and olfactory-receptor data.

  • generative-odorcheminformatics · olfaction

    Official implementation of "Navigating the Fragrance space Via Graph Generative Models And Predicting Odors". This repo is for generative models for designing odor molecules

  • aidsorbcheminformatics · pytorch

    Python package for deep learning on porous materials and beyond.

  • deepmetcheminformatics · pytorch

    A deep one-class model for the identification of endogenous metabolites

  • KEMPNNcheminformatics · pytorch

    Knowledge-Embedded Message-Passing Neural Networks in Python

  • logD_predictorcheminformatics · pytorch

    Prediction of CHI logD from ¹H/¹³C NMR spectra and molecular fingerprints using ML and deep learning.

sources
  1. api.github.com/repos/ARY2260/openpom
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-10-17, 47 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/3.json→ .entries["openpom"]

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