A curated list of trustworthy deep learning papers. Daily updating...

🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.

A curated list of awesome Green AI resources and tools to reduce the environmental impacts of using and deploying AI.

Implementation and evaluation of "FedZero: Leveraging Renewable Excess Energy in Federated Learning"

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 machine learning pipeline taking you from raw data to fully trained machine learning model - from data to model (d2m).

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.

Mapping the Landscape of AI, ML, and DL in Climate Change Research

Replication package for the data analysis of the master thesis "An analysis of modeling and training decisions for greener computer vision systems"

Guidelines to deploy AI models in different cloud providers aligned with green AI goals.

A curated list of Green AI resources.

Energy consumption of ML inference with Runtime Engines

Code and Experimental Package attached to the article "Greener Machine Learning Computing with Intel AI Acceleration"

Replication Package

Data extraction for Identifying architectural design decisions for achieving green ML serving