https://github.com/slaclab/slacml-school
https://github.com/slaclab/slacml-school
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/slaclab/slacml-school
- Owner: slaclab
- Created: 2020-09-18T22:10:37.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-12-15T20:49:22.000Z (over 4 years ago)
- Last Synced: 2025-03-28T04:25:01.614Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 25.5 MB
- Stars: 15
- Watchers: 9
- Forks: 17
- Open Issues: 2
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Metadata Files:
- Readme: README.md
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README
# SLAC-ML School - 2021
This repository contains requisite materials for the SLAC Machine Learning School 2021.
The materials are organized by a directory per topic listed below.
## 00. Prerequisites
Please do these before the workshop!
01. [**OnDemand**](/00-Prerequisites/01-OnDemand/README.md): A guide on how to get started on SLAC's GPU instances and using Jupyter.
02. [**Preparation**](/00-Prerequisites/02-Preparation/README.md): Introduction to Jupyter notebook, Python, and a basic set of scientific libraries
More materials will be added as they become ready.
Questions? Contact us [on slack](https://slac.slack.com/archives/C01B0B03HC3), [email](mailto:aashwin@slac.stanford.edu)