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Jax: high performance array computing — jax documentation jax: high perfo... Jax is a python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning. jax provides a familiar numpy-style api for ease of adoption by researc https://docs.jax.dev>en>latest - Related 
Board knowledge base welcome to the board knowledge base board 14 getting starte... How can we help you? this topic covers everything you need to know about the board 14 environment. this topic covers what are capsules, how to create them, the difference between design and play mode, and more all about capsules. this topic covers w https://help.board.com - Related
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List of proceedings name change policy datasets and benchmarks... In 2021, neurips introduced a new track, datasets and benchmarks. the first year of that track, 2021, has its own proceedings, accessible by the link below. from 2022 on, the datasets and benchmarks papers are in the main neur https://proceedings.neurips.cc> - Related
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