GitHub - mpcrlab/MolecularTransformerEmbeddings: Code and data for the Transformer neural network trained to translate between molecular text representations and create molecular embeddings.
![Language-based software's accurate predictions translate to benefits for chemists | Research | Chemistry World Language-based software's accurate predictions translate to benefits for chemists | Research | Chemistry World](https://d2cbg94ubxgsnp.cloudfront.net/Pictures/480xany/0/9/2/501092_c9cc05122hmoleculartransformer_creditfreepik_601906.jpg)
Language-based software's accurate predictions translate to benefits for chemists | Research | Chemistry World
![IJMS | Free Full-Text | GraphGPT: A Graph Enhanced Generative Pretrained Transformer for Conditioned Molecular Generation IJMS | Free Full-Text | GraphGPT: A Graph Enhanced Generative Pretrained Transformer for Conditioned Molecular Generation](https://pub.mdpi-res.com/ijms/ijms-24-16761/article_deploy/html/images/ijms-24-16761-g001.png?1701318877)
IJMS | Free Full-Text | GraphGPT: A Graph Enhanced Generative Pretrained Transformer for Conditioned Molecular Generation
![Angewandte Chemie on X: "A Molecular Transformer: A pi-Conjugated Macrocycle as an Adaptable Host (Liu) @JunzhiLiu2 @HKUniversity https://t.co/3NW9wCnst6 https://t.co/otrNfx0sHH" / X Angewandte Chemie on X: "A Molecular Transformer: A pi-Conjugated Macrocycle as an Adaptable Host (Liu) @JunzhiLiu2 @HKUniversity https://t.co/3NW9wCnst6 https://t.co/otrNfx0sHH" / X](https://pbs.twimg.com/media/Ey3QC4IWYAEVveD.png)
Angewandte Chemie on X: "A Molecular Transformer: A pi-Conjugated Macrocycle as an Adaptable Host (Liu) @JunzhiLiu2 @HKUniversity https://t.co/3NW9wCnst6 https://t.co/otrNfx0sHH" / X
![Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates | Nature Communications Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-020-18671-7/MediaObjects/41467_2020_18671_Fig1_HTML.png)
Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates | Nature Communications
GitHub - lsj2408/Transformer-M: [ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
![Transformer-based molecular optimization beyond matched molecular pairs | Journal of Cheminformatics | Full Text Transformer-based molecular optimization beyond matched molecular pairs | Journal of Cheminformatics | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13321-022-00599-3/MediaObjects/13321_2022_599_Fig1_HTML.png)
Transformer-based molecular optimization beyond matched molecular pairs | Journal of Cheminformatics | Full Text
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Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates | Research Communities by Springer Nature
![I made a Molecular Transformer used to keep pressure and temperature down when recovering large amounts of refrigerant : r/functionalprint I made a Molecular Transformer used to keep pressure and temperature down when recovering large amounts of refrigerant : r/functionalprint](https://i.redd.it/i-made-a-molecular-transformer-used-to-keep-pressure-and-v0-2bdde82u35h91.jpg?width=3024&format=pjpg&auto=webp&s=485f123c25de0716bce2b4f718eca2c3399476c3)
I made a Molecular Transformer used to keep pressure and temperature down when recovering large amounts of refrigerant : r/functionalprint
![Reagent Prediction with a Molecular Transformer Improves Reaction Data Quality | Organic Chemistry | ChemRxiv | Cambridge Open Engage Reagent Prediction with a Molecular Transformer Improves Reaction Data Quality | Organic Chemistry | ChemRxiv | Cambridge Open Engage](https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/636ea2dcfbfd385fefda8e13/largeThumb/reagent-prediction-with-a-molecular-transformer-improves-reaction-data-quality.jpg)
Reagent Prediction with a Molecular Transformer Improves Reaction Data Quality | Organic Chemistry | ChemRxiv | Cambridge Open Engage
![PDF] Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention | Semantic Scholar PDF] Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/01a81822fe7f9ddd57fb899831c9cfe7de1829ca/19-Figure3-1.png)