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Showing 1 to 2 of 2 for “"Tensorflow probability"”.
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Probabilistic Programming with Low-Level, High-Performance GPU Programmable Inference
… library achieving 10-100× speedups over TensorFlow-Probability, (2) memory-efficient trace management via template-optimized parallel effect handlers, and (3) vectorized generative functions that enable massive parallelization of inference algorithms. We demonstrate GenCUDA’s capabilities …
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Deep Generalized Additive Regression Models for Location, Scale and Shape using TensorFlow
Das Deep Distributional Learning-Modell oder Deep Generalized Additive Regression Models für Locations, Scale and Shape (DGAMLSS) ist ein flexibles Framework, das von Rügamer et al. [1] entwickelt wurde und in das sowohl strukturierte additive als auch Deep Neural Network-Teile einbezogen sind der …