SymJAX: symbolic CPU/GPU/TPU programming
Randall Balestriero · arXiv (Cornell University) · 2020
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.