Examples of edge neural networks

This repo contains examples of edge neural networks (NNs).

Models

We provide scripts for evaluating the following edge NNs:

HGCal Autoencoder: Autoencoder used at the Large Hadron Collider's (LHC) Compact Muon Solenoid (CMS) experiment for compressing physics sensor data generated at the High Granularity Calorimeter (HGCal).
CIFAR-10 CNN: Convolutional NN (CNN) that classifies images provided by the CIFAR-10 dataset. These models are based on the MLPerf Tiny Benchmark.

We use conda to manage our environment. Install miniconda from here if you do not already have conda installed.

Then create the environment:

conda env create -f environment.yml

Activate the environment:

conda activate egde-nns