openmedical/registry
← registry

SMILESAugmentation

imported

therapeutics/smilesaugmentation

SMILES, SELFIES and Reaction SMILES augmentation using RDKit

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

SMILESAugmentation project image
GitHub preview card for jcorreia11/SMILESAugmentation. 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 · chemoinformatics · data-augmentation · levenshtein-augmentation · rdkit · reaction-smiles · selfies · smiles-augmentation · smiles-strings
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.

  • molecular-string-renderercheminformatics · rdkit · selfies

    A python utility for rendering 2D molecular graph images given a string representation (SMILES, SELFIES)

  • molgencheminformatics · rdkit · selfies

    Lightweight toolkit for de novo molecular generation: SMILES & SELFIES tokenizers, CharRNN / MolGPT / VAE models, training, sampling, and MOSES-style metrics.

  • ReactionClassifiercheminformatics · reaction-smiles

    Fast, lightweight reaction classification with high granularity

  • chem-antcheminformatics · chemoinformatics · rdkit

    Select materials to output molecules similar to the target molecule with MCTS Solver and Genetic Programming.

  • docker-compose-django-rdkitcheminformatics · chemoinformatics · rdkit

    docker-compose + Django + RDKit database cartridge + PostgreSQL

  • docker-compose-razicheminformatics · chemoinformatics · rdkit

    docker-compose + JupyterNotebook + RDKit database cartridge + PostgreSQL

sources
  1. api.github.com/repos/jcorreia11/SMILESAugmentation
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-07-14, 6 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/20.json→ .entries["smilesaugmentation"]

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