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SymJAX: symbolic CPU/GPU/TPU programming

2020-05-21 · Randall Balestriero

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.

📄 PDF Abstract BibTeX arXiv:2005.10635

Code (1)

RandallBalestriero/SymJAX 공식 구현 jax

Tasks

BIG-bench Machine LearningCPUDeep LearningGPU

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