# LUMIN - a deep learning and data science ecosystem for high-energy physics

- Institution: CERN
- Department: LPCC Workshops
- Speaker: Giles Chatham Strong
- Year: 2019
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3012092)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

\[LUMIN\]\[1\] aims to become a deep-learning and data-analysis ecosystem for High-Energy Physics, and perhaps other scientific domains in the future. Similar to Keras and fastai it is a wrapper framework for a graph computation library (PyTorch), but includes many useful functions to handle domain-specific requirements and problems. It also intends to provide easy access to to state-of-the-art methods, but still be flexible enough for users to inherit from base classes and override methods to meet their own demands.

In this talk I will be introducing the library, discussing some of its distinguishing characteristics, and going through an example workflow. There will also be a general invitation for people to test out the library and provide feedback, suggestions, or contributions.

\[1\]: https://github.com/GilesStrong/lumin.

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## Lectures

1. [LUMIN - a deep learning and data science ecosystem for high-energy physics](https://invisiblenetwork.ai/learn/cern/3012092/b4cf2738a10d), 22 min (CERN's player)