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View details ↗CodonTransformer
adibvafa**CodonTransformer** is the ultimate tool for codon optimization, transforming protein sequences into optimized DNA sequences specific for your target organisms. Whether you are a researcher or a practitioner in genetic engineering, CodonTransformer provides a comprehensive suite of features to facilitate your work. By leveraging the Transformer architecture and a user-friendly Jupyter notebook, it reduces the complexity of codon optimization, saving you time and effort. Adibvafa Fallahpour 1,2 \*, Vincent Gureghian 3 \*, Guillaume J. Filion 2 ‡, Ariel B. Lindner 3 ‡, Amir Pandi 3 ‡ 1 Vector Institute for Artificial Intelligence, Toronto ON, Canada 2 University of Toronto Scarborough; Department of Biological Science; Scarborough ON, Canada 3 Université Paris Cité, INSERM U1284, Center for Research and Interdisciplinarity, F-75006 Paris, France \* These authors contributed equally to this work. ‡ To whom correspondence should be addressed: guillaume.filion@utoronto.ca, ariel.lindner@inserm.fr, amir.pandi@cri-paris.org
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View details ↗indo-sentiment-analysis
agufsamudraThis model is fine-tuned from **`indobenchmark/indobert-base-p1`** for binary sentiment classification (Positive/Negative) on Indonesian text. - **Developed by:** agufsamudra - **Model type:** Text Classification - **Language(s):** Indonesian (id) - **License:** Apache-2.0 - **Fine-tuned from model:** indobenchmark/indobert-base-p1 This model is intended for binary sentiment classification tasks in Indonesian language texts. It predicts whether a given text expresses positive or negative sentiment.
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