mlsanityData to 14 Oct 2026

SymJAX: symbolic CPU/GPU/TPU programming

arXiv 2005.10635 ↗First posted 21 May 2020cs.MS cs.CVcited by 1

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Abstract (arXiv)

SymJAX is a symbolic programming version of JAX simplifying graph input/output/updates and providing additional functionalities for general machine learning and deep learning applications. From an user perspective SymJAX provides a la Theano experience with fast graph optimization/compilation and broad hardware support, along with Lasagne-like deep learning functionalities.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 21 May 2020.

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  1. 2022Spatial Transformer K-Meanscited by 2