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icsg3d

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therapeutics/icsg3d

3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)

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

icsg3d project image
GitHub preview card for by256/icsg3d. 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
Documentation
unknown
Tags
cheminformatics · computational-chemistry · computational-physics · crystallography · deep-learning · representation-learning
Regulatory
unknown
built by · 3

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.

  • biosimspacecomputational-chemistry · computational-physics

    An interoperable Python framework for biomolecular simulation.

  • equiformer_v2computational-chemistry · computational-physics

    [ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

  • IANNcomputational-chemistry · computational-physics

    IANN (InterAtomic Neural Network Framework) is an equivariant interatomic neural network potential framework package

  • ChemSharpcheminformatics · crystallography

    Library for processing of chemistry related files (aiming at spectroscopy and structural files)

  • Molecular3DLengthDescriptorscheminformatics · crystallography

    A 3D conformational based molecular descriptor set for use in QSPR and Machine Learning.

  • hbatcrystallography

    HBAT 2: A Python Package to analyse Hydrogen Bonds and Other Non-covalent Interactions in Macromolecular Structures https://hbat-web.abhishek-tiwari.com

sources
  1. api.github.com/repos/by256/icsg3d
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-02-15, 41 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/32.json→ .entries["icsg3d"]

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