15-18 April 2019
CERN
Europe/Zurich timezone
There is a live webcast for this event.

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

17 Apr 2019, 12:05
20m
500/1-001 - Main Auditorium (CERN)

500/1-001 - Main Auditorium

CERN

400
Show room on map

Speaker

Giles Chatham Strong (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part)

Description

LUMIN 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.

Preferred contribution length 20 minutes

Primary author

Giles Chatham Strong (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part)

Presentation Materials