Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Posted by klaurent MIT

Kavli Affiliate: John Richardson | Summary:Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models are composed of modular building blocks that are flexible and easily extensible, and experiment configurations are centralized and highly customizable. Distributed training and quantized inference are supported […]


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Non-isothermal effects on water potential measurement in a simple geometry

Posted by klaurent Cornell

Kavli Affiliate: Abraham Stroock | Summary:In this paper, we investigate quantitatively the coupling between gradients of temperature and of chemical or water potential under steady state conditions in the vapor phase. This coupling is important for the measurement and modeling of the dynamics of water in unsaturated environments like soils and plants. We focus on […]


Continue.. Non-isothermal effects on water potential measurement in a simple geometry