smiles-transformer
importedtherapeutics/smiles-transformer
Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- DSPsleeporg
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- cheminformatics · chemistry · deep-learning · python · pytorch · transformer
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- MolDeTrcheminformatics · chemistry · pytorch · transformer
Chemistry-informed deep learning (1D Deformable-DETR) for automated ¹H NMR multiplet detection: δ, coupling J, proton count and line width in one forward pass.
- molgencheminformatics · chemistry · pytorch · transformer
Lightweight toolkit for de novo molecular generation: SMILES & SELFIES tokenizers, CharRNN / MolGPT / VAE models, training, sampling, and MOSES-style metrics.
- aidsorbcheminformatics · chemistry · pytorch
Python package for deep learning on porous materials and beyond.
- chempleterchemistry · pytorch
Chempleter is a lightweight generative model to predict syntactically valid extensions of molecular structures.
- toxicity-prediction-gnnchemistry · pytorch
ML model for substance toxicity prediction using graph-based neural networks
- ADDFormerpytorch · transformer
Addformer: Alzheimer’s disease detection from structural mri using fusion transformer
- api.github.com/repos/DSPsleeporg/smiles-transformerretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-12-22, 358 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/62.json→ .entries["smiles-transformer"]
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