-
### Prize category
Best Plugin
### Overview
A plugin to estimate the carbon emissions of object storage based on a few factors such as:
- data amount
- length of time data is stored
- avai…
-
-
-
Likes Neurosurgeon
the model can be segmented into multiple partitions and then allocated to:
1. distributed edge nodes
A Locally Distributed Mobile Computing Framework for DNN based Android Appl…
-
### Prize category
Best Plugin
### Overview
The idea is to generate a model that could be used to calculate the carbon emissions produced during neural network training and inference phases, …
-
Running
```
mace_run_train --foundation_model='small' --ema_decay=0.995 --energy_weight=1.0 --forces_weight=1.0 --stress_weight=1.0 --max_num_epochs=2 --scheduler_patience=5 --patience=40 --clip_gra…
-
## Introduction
Today, Microsoft announced an open-source way to scale your workloads based on carbon-intensity with KEDA and the green software foundations SDK. This was built on top of [earlier l…
-
Going from dimer up to a 20-sized cluster is a really large stretch. As @kmherman is finding, our agent has a tendency of learning policies that quickly add water molecules so that it gets to end of t…
-
Hi Sir,
I have some question about your LeNet-5 MATLAB project. Thanks for your answer.
1, In backpropagation.m why loss doesn't as an input be used? Due to loss doesn't use, so Lable will not ta…
-
## Prequest
- https://deepmind.com/learning-resources/-introduction-reinforcement-l…