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aidsorb

imported

therapeutics/aidsorb

Python package for deep learning on porous materials and beyond.

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

aidsorb project image
GitHub preview card for adosar/aidsorb. 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
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
3d-deep-learning · 3d-point-clouds · ai4science · cheminformatics · chemistry · computational-chemistry · deep-learning · geometric-deep-learning · machine-learning · material-science · materials-informatics · metal-organic-frameworks · point-clouds · porous-materials · pytorch · pytorch-lightning · voxels
Regulatory
unknown
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  • molecular-vaecheminformatics · chemistry · materials-informatics

    Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"

sources
  1. api.github.com/repos/adosar/aidsorb
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-08, 6 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/43.json→ .entries["aidsorb"]

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