green-ai
Here are 22 public repositories matching this topic...
Language:All
Sort:Most stars
A curated list of trustworthy deep learning papers. Daily updating...
- Updated
Apr 28, 2025
🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.
- Updated
Apr 24, 2025 - Python
A curated list of awesome Green AI resources and tools to assess and reduce the environmental impacts of using and deploying AI.
- Updated
Mar 27, 2025
Implementation and evaluation of "FedZero: Leveraging Renewable Excess Energy in Federated Learning"
- Updated
Sep 2, 2024 - Python
Use local Large Language Models (LLMs) while monitoring energy usage.
- Updated
Apr 18, 2025 - Jupyter Notebook
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.
- Updated
Apr 1, 2023 - Python
A machine learning pipeline taking you from raw data to fully trained machine learning model - from data to model (d2m).
- Updated
Feb 20, 2024 - Python
A curated list of Green AI resources.
- Updated
Oct 18, 2024
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.
- Updated
Dec 9, 2022 - Shell
Mapping the Landscape of AI, ML, and DL in Climate Change Research
- Updated
Feb 26, 2024 - HTML
Hackathon winner at AI Engineer World Fair Hackathon: Transforming code, one function at a time, to reduce digital carbon footprints and create a more sustainable digital world.
- Updated
Apr 3, 2025 - Python
Replication package for the data analysis of the master thesis "An analysis of modeling and training decisions for greener computer vision systems"
- Updated
Feb 28, 2023 - Jupyter Notebook
Guidelines to deploy AI models in different cloud providers aligned with green AI goals.
- Updated
Sep 13, 2023 - Jupyter Notebook
Energy consumption of ML inference with Runtime Engines
- Updated
Apr 22, 2025 - Jupyter Notebook
Code and Experimental Package attached to the article "Greener Machine Learning Computing with Intel AI Acceleration"
- Updated
Aug 14, 2024 - Shell
Replication Package
- Updated
May 13, 2023 - Jupyter Notebook
A central place to collect and organize studies on digital sustainability.
- Updated
Apr 23, 2025 - HTML
Recurrent models optimize deep learning by reducing computation and energy use, addressing carbon emissions, training time, and the need for powerful devices efficiently.
- Updated
May 30, 2023 - Python
Dimensionality reduction of AI models for image processing through model pruning, featuring APOZ and Taylor pruning techniques.
- Updated
Feb 22, 2025 - Python
Improve this page
Add a description, image, and links to thegreen-ai topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thegreen-ai topic, visit your repo's landing page and select "manage topics."