|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Green Ai||37||3 years ago||mit|
|🌱 The Green AI Standard aims to develop a standard and raise awareness for best environmental practices in AI research and development|
|Drift Ai||8||2 years ago||2||gpl-3.0||Python|
|Training AI to drift in NFS Carbon using reinforcement learning|
|Talentland2019||4||5 years ago||Python|
|Code and resources from the workshop of "Computer Vision and Artificial Intelligence for robots by Carbon Robotics".|
|Dronationx||2||5 years ago||ShaderLab|
|ITU 2018 - Art Of Engineering Final Project|
|AI-powered carbon footprint analyzer integrated with Instagram:|
|12 Must Read Papers From Ai Experts||2||3 years ago|
|"Whether we are based on carbon or on silicon makes no fundamental difference; we should each be treated with appropriate respect."― Arthur C. Clarke|
The Green AI Standard aims to develop a standard and raise awareness for best environmental practices in AI research and development
Developing machine learning models is extremely costly for the environment (Strubell et al. (2019))
Information and communications technology is on track to create 3.5% of global emissions by 2020–which is more than the aviation and shipping industries–and could hit 14% by 2040 (Guardian (2018)). We need to take a stand now!
Minimize costs and carbon emissions by sharing local infrastructure instead of relying on on-demand cloud computing resources (Strubell et al. (2019))
The fossil fuel industry is responsible for most of the world's CO2 emission by a large margin. Artificial intelligence has been a driving force of optimizing gas and oil extraction processes. By following the Standard, we pledge to not make developed applications available for fossil fuel focused usage.
We recommend offsetting your emissions to certified carbon neutrality projects if possible. Offsets can be calculated via MyClimate and purchased here:
You can also measure how much power your deep learning model has consumed via Power Meter. Note that it only covers GPU consumption.
|👇 The Pledge Badge||👇 The Carbon Neutral Badge|
The pledge badge shows your commitment to do the best to reduce the greenhouse gas emissions caused by your research by following the best practices developed by the Green AI Standard
The Carbon Neutral Badge shows that your greenhouse gas emissions caused by your code repository are offsetted. The badge should link to the offset certificate for verification
The green ring is inspired by the Climate Reality project