Explore projects

Exploritory research on using RAG to conduct contextual entity resolution via pattern of life and behavior vectors.

Tool to show how to generate the histogram structure of S(Q) for McViNE input

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.

Development of reduced order models for Computational Neuroscience models

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

Data repository of prose linters

VENUS instrument at SNS-FTS10