openmedical/registry
← registry

exmoset

imported

therapeutics/exmoset

Automating the generation of human readable descriptions of arbitrary subsets of molecular space.

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

exmoset project image
GitHub preview card for acmater/exmoset. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cheminformatics · clustering · explainable-ml
Regulatory
unknown
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.

  • xai_thyroidexplainable-ml

    Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images

  • xMILexplainable-ml

    xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

  • bbleancheminformatics · clustering

    BitBIRCH-Lean, a memory-efficient implementation of BitBIRCH designed for high-throughput clustering of huge molecular libraries

  • bitbirchcheminformatics · clustering

    BitBIRCH clustering algorithm

  • iSIMcheminformatics · clustering

    Module containing scripts to perform multiple comparison simultaneously and getting the exact same value as the average pairwise comparisons of molecules represented by binary fingerprints or real…

  • Chelombusclustering

    Clustering and visualization of billions of molecules (or other high-dimensional data). 1 billion, 100K clusters, less than 3 hours, one GPU.

sources
  1. api.github.com/repos/acmater/exmoset
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2021-08-18, 4 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/32.json→ .entries["exmoset"]

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