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"PyTorch: A Modern Library for Machine Learning" with Adam Paszke
The recent explosion in the power and popularity of machine learning techniques has been fueled in part by the ecosystem of open source Python libraries. One of those was PyTorch, a successor to Torch7, which is rapidly becoming one of the most essential tools in every ML researcher’s toolbox. However, research is not the end of the story. Machine learning is transforming entire fields, meaning that efficient inference is now becoming more important than ever. Even though PyTorch has strong roots in research applications, inference functionality is one of our recent focuses and has driven us to develop some innovative solutions in that space. In this talk, Paszke will present the ideas underlying the library and how it can be utilized in the variety of scenarios in which machine learning appears, which range from research all the way to production.
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View the recent ACM TechTalk, "Rust: In It for the Long Haul," presented on Friday, November 1 by Carol Nichols, co-author of The Rust Programming Language book and co-founder of Integer 32, the world’s first Rust-focused consultancy. Jake Goulding, co-founder of Integer 32 and member of the Rust Infrastructure Team, moderated the Q&A. Continue the discussion on ACM's Discourse Page.