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Uber Open is a one-day summit for developers and community leaders advancing open source collaboration and innovation at scale. Featuring over 15 talks and workshops delivered by the technologists building and using some of Uber’s most popular open source projects, Uber Open will showcase how these technologies are driving the future of data visualization, artificial intelligence, site reliability, and more. RSVP and more information here:  Uber Open 2018.


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Machine Learning [clear filter]
Thursday, November 15
 

11:15am PST

Pyro - Deep Universal Probabilistic Programming
Pyro is a deep probabilistic programming language built on PyTorch, a GPU-accelerated deep learning framework. Developed at Uber AI Labs by Noah Goodman and team, Pyro is used as a platform for research in modern Bayesian machine learning, where deep neural networks can be used both in models and in inference. To scale to large datasets and high-dimensional models, Pyro uses stochastic variational inference algorithms and probability distributions built on top of PyTorch. The Pyro team works closely with the PyTorch team and many open source collaborators to create a rich, stable toolset for probabilistic machine learning research.

Speakers
avatar for Fritz Obermeyer

Fritz Obermeyer

Engineering Lead, Pyro, Uber


Thursday November 15, 2018 11:15am - 12:00pm PST
Gate Room