MoleculeNet: a benchmark for molecular machine learning von Wu, Zhenqin, Ramsundar, Bharath, Feinberg, Evan N, Gomes, Joseph, Geniesse, Caleb, Pappu, Aneesh S, Leswing, Karl, Pande, Vijay

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Low Data Drug Discovery with One-Shot Learning von Altae-Tran, Han, Ramsundar, Bharath, Pappu, Aneesh S, Pande, Vijay

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PotentialNet for Molecular Property Prediction von Feinberg, Evan N, Sur, Debnil, Wu, Zhenqin, Husic, Brooke E, Mai, Huanghao, Li, Yang, Sun, Saisai, Yang, Jianyi, Ramsundar, Bharath, Pande, Vijay S

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Retrosynthetic Reaction Prediction Using Neural Sequence-to-Sequence Models von Liu, Bowen, Ramsundar, Bharath, Kawthekar, Prasad, Shi, Jade, Gomes, Joseph, Luu Nguyen, Quang, Ho, Stephen, Sloane, Jack, Wender, Paul, Pande, Vijay

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Solving the RNA design problem with reinforcement learning von Eastman, Peter, Shi, Jade, Ramsundar, Bharath, Pande, Vijay S

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Differentiable modeling and optimization of non-aqueous Li-based battery electrolyte solutions using geometric deep learning von Zhu, Shang, Ramsundar, Bharath, Annevelink, Emil, Lin, Hongyi, Dave, Adarsh, Guan, Pin-Wen, Gering, Kevin, Viswanathan, Venkatasubramanian

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AutoMat: Automated materials discovery for electrochemical systems von Annevelink, Emil, Kurchin, Rachel, Muckley, Eric, Kavalsky, Lance, Hegde, Vinay I., Sulzer, Valentin, Zhu, Shang, Pu, Jiankun, Farina, David, Johnson, Matthew, Gandhi, Dhairya, Dave, Adarsh, Lin, Hongyi, Edelman, Alan, Ramsundar, Bharath, Saal, James, Rackauckas, Christopher, Shah, Viral, Meredig, Bryce, Viswanathan, Venkatasubramanian

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Identification and Development of Therapeutics for COVID-19 von Rando, Halie M, Wellhausen, Nils, Ghosh, Soumita, Lee, Alexandra J, Dattoli, Anna Ada, Hu, Fengling, Byrd, James Brian, Rafizadeh, Diane N, Lordan, Ronan, Qi, Yanjun, Sun, Yuchen, Brueffer, Christian, Field, Jeffrey M, Ben Guebila, Marouen, Jadavji, Nafisa M, Skelly, Ashwin N, Ramsundar, Bharath, Wang, Jinhui, Goel, Rishi Raj, Park, YoSon, Boca, Simina M, Gitter, Anthony, Greene, Casey S

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初探深度學習｜使用TensorFlow von Bharath Ramsundar, Reza Zadeh

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Computational Modeling of β‑Secretase 1 (BACE-1) Inhibitors Using Ligand Based Approaches von Subramanian, Govindan, Ramsundar, Bharath, Pande, Vijay, Denny, Rajiah Aldrin

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A guide to deep learning in healthcare von Esteva, Andre, Robicquet, Alexandre, Ramsundar, Bharath, Kuleshov, Volodymyr, DePristo, Mark, Chou, Katherine, Cui, Claire, Corrado, Greg, Thrun, Sebastian, Dean, Jeff

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Scientific discovery in the age of artificial intelligence von Wang, Hanchen, Fu, Tianfan, Du, Yuanqi, Gao, Wenhao, Huang, Kexin, Liu, Ziming, Chandak, Payal, Liu, Shengchao, Van Katwyk, Peter, Deac, Andreea, Anandkumar, Anima, Bergen, Karianne, Gomes, Carla P., Ho, Shirley, Kohli, Pushmeet, Lasenby, Joan, Leskovec, Jure, Liu, Tie-Yan, Manrai, Arjun, Marks, Debora, Ramsundar, Bharath, Song, Le, Sun, Jimeng, Tang, Jian, Veličković, Petar, Welling, Max, Zhang, Linfeng, Coley, Connor W., Bengio, Yoshua, Zitnik, Marinka

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TensorFlow for Deep Learning von Bharath Ramsundar, Reza Bosagh Zadeh

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TensorFlow pour le Deep learning von Bharath Ramsundar, Reza Bosagh Zadeh

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Deep Learning Für Die Biowissenschaften: Einsatz Von Deep Learning in Genomik, Biophysik, Mikroskopie und Medizinischer Analyse von Ramsundar, Bharath, Eastman, Peter, Walters, Patrick, Pande, Vijay, Schock, Helena

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AMPL: A Data-Driven Modeling Pipeline for Drug Discovery von Minnich, Amanda J, McLoughlin, Kevin, Tse, Margaret, Deng, Jason, Weber, Andrew, Murad, Neha, Madej, Benjamin D, Ramsundar, Bharath, Rush, Tom, Calad-Thomson, Stacie, Brase, Jim, Allen, Jonathan E

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Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More von Ramsundar, Bharath, Eastman, Peter, Walters, Patrick, Pande, Vijay

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Is Multitask Deep Learning Practical for Pharma? von Ramsundar, Bharath, Liu, Bowen, Wu, Zhenqin, Verras, Andreas, Tudor, Matthew, Sheridan, Robert P, Pande, Vijay

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Computational Modeling of [Beta]-Secretase 1 (BACE-1) Inhibitors Using Ligand Based Approaches von Subramanian, Govindan, Ramsundar, Bharath, Pande, Vijay, Denny, Rajiah Aldrin

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Deep Learning fur die Biowissenschaften von Ramsundar, Bharath, Eastman, Peter, Walters, Patrick, Pande, Vijay, Schock, Helena

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