ChemBERTa | Scientific Machine Learning Seminar | Carnegie Mellon University скачать в хорошем качестве

ChemBERTa | Scientific Machine Learning Seminar | Carnegie Mellon University

ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction by Seyone Chithrananda, Gabe Grand, Elana Simon, Walid Ahmed, and Bharath Ramsundar (ArXiv: https://arxiv.org/abs/2010.09885​) Presented at Scientific Machine Learning Webinar Series at Carnegie Mellon University, Feb 18, 2021 (https://www.cmu.edu/aced/sciML.html​). Organized by Dilip Krishnamurthy and Venkat Viswanathan Chair: Tom Miller, Caltech and Entos, Inc NeurIPS ML for Molecules Paper: https://ml4molecules.github.io/papers... GitHub: https://github.com/seyonechithrananda... Tutorial: https://github.com/deepchem/deepchem/... DeepChem: https://deepchem.io/