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.
- DAEFormerpytorch · transformer
[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
- fNIRS-Transformerpytorch · transformer
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
- Medical-Transformerpytorch · transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
- TransBTSpytorch · transformer
This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards…
- AMPLcheminformatics · chemistry
The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.
- asciiMolcheminformatics · chemistry
Curses based ASCII molecule viewer for terminals.
- 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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