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PyCon Hong Kong

Plug into JAX frameworks

Posted on October 26, 2020November 23, 2020

JAX is a library similar to NumPy, redesigned by Google for GPUs and TPUs. A wave of new ML frameworks, based on JAX, are looking for a chance to become an alternative to PyTorch and TensorFlow. In this session, I try out three JAX frameworks (Objax, Flax, and Elegy), showing the steps to solve Kaggle’s flower classification challenge with each one.

Language: English
Date & Time: 7 November 2020, Saturday 10:45-11:15
Speaker: Nick Doiron

Nick is a Software Engineer at the MGGG Redistricting Lab. Previously he worked with One Laptop per Child, McKinsey, Code for America, and the Museum of Modern Art (NYC).

Website / Blog: https://mapmeld.com/ml/
Twitter: https://twitter.com/mapmeld
LinkedIn: https://www.linkedin.com/in/nickdoiron/

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