GitHub - mpcrlab/MolecularTransformerEmbeddings: Code and data for the Transformer neural network trained to translate between molecular text representations and create molecular embeddings.
![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
![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/1024x536/0/9/1/501091_c9cc05122hmoleculartransforme_creditacs_794774.jpg)
Language-based software's accurate predictions translate to benefits for chemists | Research | Chemistry World
![JCIM & JCTC Journals on X: "Generative Chemical Transformer: Neural #MachineLearning of Molecular Geometric Structures from Chemical Language via Attention https://t.co/jZ9NLNzNen #current_issue #DeepLearning https://t.co/GgOom8YLYk" / X JCIM & JCTC Journals on X: "Generative Chemical Transformer: Neural #MachineLearning of Molecular Geometric Structures from Chemical Language via Attention https://t.co/jZ9NLNzNen #current_issue #DeepLearning https://t.co/GgOom8YLYk" / X](https://pbs.twimg.com/media/FIBkn3rWUAEgszi.jpg)
JCIM & JCTC Journals on X: "Generative Chemical Transformer: Neural #MachineLearning of Molecular Geometric Structures from Chemical Language via Attention https://t.co/jZ9NLNzNen #current_issue #DeepLearning https://t.co/GgOom8YLYk" / X
GitHub - lsj2408/Transformer-M: [ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
![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
![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 | Research Communities by Springer Nature Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates | Research Communities by Springer Nature](https://images.zapnito.com/cdn-cgi/image/metadata=copyright,fit=scale-down,format=auto,quality=95/https://images.zapnito.com/users/440285/posters/1600958705-73-2363/75844867-7873-413b-837f-e939f7873722_large.jpeg)
Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates | Research Communities by Springer Nature
![Molecular Transformer-aided Biocatalysed Synthesis Planning | Theoretical and Computational Chemistry | ChemRxiv | Cambridge Open Engage Molecular Transformer-aided Biocatalysed Synthesis Planning | Theoretical and Computational Chemistry | ChemRxiv | Cambridge Open Engage](https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/60c75919842e6599a7db4990/largeThumb/molecular-transformer-aided-biocatalysed-synthesis-planning.jpg)