raghavian/sustainable_ai
Materials and exercises for the book "Sustainable AI" by Raghavendra Selvan. (2025)
This project provides supporting materials and exercises for the book "Sustainable AI." It helps professionals and researchers understand the environmental impact of AI and make informed decisions about its development and deployment. The book offers practical tools and conceptual frameworks to assess the trade-offs between AI's benefits and its resource consumption. Scientists, policy makers, business leaders, and engineers working with AI will find this useful.
Use this if you are concerned about the environmental footprint of AI technologies and want to learn how to develop and deploy AI solutions more responsibly and sustainably.
Not ideal if you are looking for a technical library or framework to directly build AI models without considering their broader ecological implications.
Stars
16
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 21, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/raghavian/sustainable_ai"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Marktechpost/AI-Tutorial-Codes-Included
Codes/Notebooks for AI Projects
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
airbus/scikit-decide
AI framework for Reinforcement Learning, Automated Planning and Scheduling
nearai/program_synthesis
Program Synthesis
papagiannakis/Elements
Project Elements: A computational entity-component-system in a scene-graph pythonic framework,...