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TrAC DLRG Mini-course on MLOps (class 1/3) In this mini-course, we will cover DevOps and best practices for training, monitoring, and deploying deep learning models.
35 events found.
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Welcome to TrAC Day! Hosted by The Translational AI Center When: Wednesday, April 3rdTime: 3:00 p.m.Where: Student Innovation Center, Iowa State University About TrAC Day The Translational AI Center is […] |
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TrAC ADLRG Mini-course on Generative AI (class 3/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc. |
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Title: ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization Link to the paper: https://light.princeton.edu/publication/delta_prox/ |
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TrAC DLRG Mini-course on MLOps (class 2/3) In this mini-course, we will cover DevOps and best practices for training, monitoring, and deploying deep learning models. |
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Title: A Graph Neural Network Surrogate for Epitaxial Crystal Growth Abstract Predicting grain (crystal) formation and growth during alloy solidification is of great importance in additive manufacturing (AM) as it […] |
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TrAC ADLRG Mini-course on Generative AI (class 4/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc. |
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TrAC DLRG Mini-course on MLOps (class 3/3) In this mini-course, we will cover DevOps and best practices for training, monitoring, and deploying deep learning models. |
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Title: Living Scenes:Â Creating and updating digital twins of evolving indoor scenes Abstract Buildings are like living organisms, i.e., they evolve over time due to interaction with natural phenomena and humans. […] |
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TrAC ADLRG Mini-course on Federated Learning (class 1/3) In this mini-course, we will cover concepts in Federated Learning. |
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Title: Unified Training of Universal Time Series Forecasting Transformers |
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Title: Transforming AI Practices: From Data Generation to Automated MLOps Abstract Agility enables swift adaptation to changing market needs and new technologies. Moreover, mature AI utilization necessitates a strategic shift, […] |
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TrAC ADLRG Mini-course on Federated Learning (class 2/3) In this mini-course, we will cover concepts in Federated Learning. |
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Title: Operator learning for data-driven closure models of complex dynamical systems Abstract Closure models are widely used in simulating complex multiscale dynamical systems such as turbulence and Earth’s climate, for […] |
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TrAC ADLRG Mini-course on Federated Learning (class 3/3) In this mini-course, we will cover concepts in Federated Learning. |
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