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

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.

Docker-compose for getting TLS using NGINX + Let's Encrypt

Install scripts, containers, dependencies, wheels, benchmarks, utils, documentation for latest supported and legacy versions of pytorch.

ExaSheds work directory with large files.

Performance-portable geometric search library

A spack environment for installing LBANN on Summit via Spack.

Top-level project for testing Git Submodules

Test project for experimenting with Git submodules.