Skip to content

Track the energy consumption for your Machine Learning experiments.

License

Notifications You must be signed in to change notification settings

autonomio/EasyEnergy

Repository files navigation

EasyEnergy

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.

🔧 Key Features

  1. 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.

  1. Machine Energy Tracking

Given a list of machines, this feature helps track the machine with the least energy consumption and carbon emission.

💾 Installation

Installing latest version from source

pip install git+https://github.com/autonomio/EasyEnergy

📖 Docs

Callbacks Docs - Docs

Machine Energy Docs - Docs

▶️ Examples

Callbacks Examples - Examples

Machine Energy Examples - Examples

💬 How to get Support

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

📢 Citations

If you use EasyEnergy for published work, please cite:

Autonomio EasyEnergy [Computer software]. (2022). Retrieved from http://github.com/autonomio/EasyEnergy.


📃 License

MIT License

About

Track the energy consumption for your Machine Learning experiments.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published