There are 3 repositories under green-ai topic.
A curated list of trustworthy deep learning papers. Daily updating...
A curated list of awesome Green AI resources and tools to reduce the environmental impacts of using and deploying AI.
🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.
GATorch is a tool seamlessly integrated with PyTorch that enables ML developers to generate an energy consumption report. By attaching your model, the tool automatically tracks the energy consumption of your model's training and generates graphs and plots to gain in-depth insights into the energy consumption of your model.
A Grafana panel to monitor the carbon footprint of AWS, GCP and Azure instances. Maintains a list of data centres and their energy sources, and computes CO2e emissions by sampling energy consumption of CPU, GPU and DRAM.
Guidelines to deploy AI models in different cloud providers aligned with green AI goals.
Replication package for the data analysis of the master thesis "An analysis of modeling and training decisions for greener computer vision systems"
Code and Experimental Package attached to the article "Greener Machine Learning Computing with Intel AI Acceleration"
Replication Package
Mapping the Landscape of AI, ML, and DL in Climate Change Research