bainbrid/icenet

D(ee)p learning

██  ██████ ███████ ███    ██ ███████ ████████
██ ██      ██      ████   ██ ██         ██   
██ ██      █████   ██ ██  ██ █████      ██   
██ ██      ██      ██  ██ ██ ██         ██   
██  ██████ ███████ ██   ████ ███████    ██   

A deep learning driven library for high energy physics and beyond. See the documentation at:

https://mieskolainen.github.io/icenet

An introduction talk: docs/pdf/ICENET_ML_Forum_Mieskolainen_080223.pdf

First steps

Start with the installation:

docs/source/notes/installation.rst

For end-to-end deep learning examples, see e.g. github actions (CI) workflows under

.github/workflows

Reference

If you use this work in your research -- especially if you find algorithms, their application or ideas novel, please include a citation:

@software{icenet,
  author  = "{Mikael Mieskolainen}",
  title   = "ICENET: a deep learning library for HEP",
  url     = "https://github.com/mieskolainen/icenet",
  version = {X.Y.Z},
  date    = {2024-05-28},
}

Mikael Mieskolainen, 2024
[email protected]