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Materials to get started with basics of machine learning

MCNP input/output utilities (deprecated)

Collection of jupyterNBs for VIBE cloud that demonstrate end to end workflow by generating meshes, running multiphysics simulations and analyzing results within internet browser.

Tutorials and scripts to use Summit in order to scale up your Python deep learning projects. It covers basics of data parallelism and goes over what to add in your code to parallelize your training process.

distributed deep learning examples on Summit for Keras, PyTorch, and TensorFlow.

Domain decomposition with automatic halo exchange using pytorch multigpu as well as the new RPC interface in pytorch 1.4.