Track the energy consumption for your machine learning experiments.
EasyEnergy helps in the goal of energy tracking and reduction of carbon footprint in your machine learning experiments.
- Callbacks
Energy tracking can be done during model training and model inference with the help of simple Callbacks which can be added to your custom machine learning experiment.
- Machine Energy Tracking
Given a list of machines, this feature helps track the machine with the least energy consumption and carbon emission.
pip install git+https://github.com/autonomio/EasyEnergy
Callbacks Docs - Docs
Machine Energy Docs - Docs
Callbacks Examples - Examples
Machine Energy Examples - Examples
| I want to... | Go to... |
|---|---|
| ...troubleshoot | Docs · GitHub Issue Tracker |
| ...report a bug | GitHub Issue Tracker |
| ...suggest a new feature | GitHub Issue Tracker |
| ...get support | Stack Overflow |
If you use EasyEnergy for published work, please cite:
Autonomio EasyEnergy [Computer software]. (2022). Retrieved from http://github.com/autonomio/EasyEnergy.