Go to file
Eduardo Cueto-Mendoza c900129ec9 Commited code from 2023 2024-05-10 10:59:24 +01:00
Mixtures Commited code from 2023 2024-05-10 10:59:24 +01:00
layers Commited code from 2023 2024-05-10 10:59:24 +01:00
models Commited code from 2023 2024-05-10 10:59:24 +01:00
tests Commited code from 2023 2024-05-10 10:59:24 +01:00
.gitignore Commited code from 2023 2024-05-10 10:59:24 +01:00
LICENSE Initial commit 2024-05-10 09:33:15 +00:00
README.md Commited code from 2023 2024-05-10 10:59:24 +01:00
amd_sample_draw.py Commited code from 2023 2024-05-10 10:59:24 +01:00
arguments.py Commited code from 2023 2024-05-10 10:59:24 +01:00
cpu_watt.sh Commited code from 2023 2024-05-10 10:59:24 +01:00
gpu_power_func.py Commited code from 2023 2024-05-10 10:59:24 +01:00
gpu_sample_draw.py Commited code from 2023 2024-05-10 10:59:24 +01:00
main_bayesian.py Commited code from 2023 2024-05-10 10:59:24 +01:00
main_frequentist.py Commited code from 2023 2024-05-10 10:59:24 +01:00
mem_free.sh Commited code from 2023 2024-05-10 10:59:24 +01:00
metrics.py Commited code from 2023 2024-05-10 10:59:24 +01:00
radeontop.sh Commited code from 2023 2024-05-10 10:59:24 +01:00
read_pickle.py Commited code from 2023 2024-05-10 10:59:24 +01:00
run_service.py Commited code from 2023 2024-05-10 10:59:24 +01:00
stopping_crit.py Commited code from 2023 2024-05-10 10:59:24 +01:00
uncertainty_estimation.py Commited code from 2023 2024-05-10 10:59:24 +01:00
utils.py Commited code from 2023 2024-05-10 10:59:24 +01:00

README.md

Energy efficiency comparison

This experiment compares a Frequentist CNN model against a Bayesian CNN model