NCI will be offering free training sessions to all ALCS attendees on Tuesday 13 June, the day before the start of the conference.

The three sessions will be run in person on the ANU Campus. More details on exact location, timing and registering for the specific sessions will be available soon.

1 - Introduction to Python for HPC

This workshop will familiarise you with tools to scale up your Python code to adapt it for an HPC machine. Find out more about this session here: https://opus.nci.org.au/x/hgG9D

Register here

2 - AI/ML Applications on Gadi – Computational Biology 

This workshop will introduce you to popular Machine Learning and Deep Learning Methods common in Computational Biology, and show ways of using Python to run machine learning models on the Gadi supercomputer. Find out more about this session here: https://opus.nci.org.au/x/ygBTCQ

Register here

3 - AI/ML Applications on Gadi – Astronomy 

This workshop will showcase how one can easily construct a neural network to rapidly emulate summary statistics from almost any complex model. It will also demonstrate how to write a simple Bayesian framework to perform inference with the emulator. Find out more about this session here: https://opus.nci.org.au/x/mQBTCQ

Register here

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