Popular GitHub Repositories for Carbon Footprint

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

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.

? Awesome Image Generator for Code Snippets & Mockups

DevB.io seamlessly transforms your GitHub footprint into a living, breathing portfolio. Powered by AI, it tells your developer story while you focus on what matters most: writing great code. No more portfolio maintenance headaches, just pure coding brilliance on display.

?????? Findto is an open source assistant for decentralized search. Explore the best of Web, AI, and more.

Official implementation of the WACV 2025 paper "Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery".

Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

Implementation of EMNLP2020 accepted paper: "TopicBERT: Topic-aware BERT for Efficient Document Classification"

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

Chatbot for The Carbon Almanac book or a climate change related topic

? Greta is an agile voice assistant to help reduce your carbon footprint.

Energy Consumption-Aware Tabular Benchmark For Neural Architecture Search

Samples for fine-tuning HuggingFace models with AzureML

Effective processing pipeline and advanced neural network architectures for small-footprint keyword spotting

Large-scale digital mapping of soil organic carbon content by using machine learning algorithms

Prediksi tingkat emisi karbon di Purbalingga menggunakan Machine Learning berbasis data geospasial dari OpenStreetMap.

Learn to optimize machine learning tasks for environmental sustainability. Discover how to use real-time electricity data and low-carbon energy sources for model training and inference, reducing the carbon footprint of your cloud operations.

A compact language model implementing HybridNorm and Fourier-based attention. Combines CoLA (low-rank projections), FANformer, and hybrid normalization to create an efficient decoder-only transformer. Leverages periodicity modeling and gated residuals to enhance performance while maintaining a small parameter footprint.

Small footprint, standalone, zero dependency, offline keyword spotting (KWS) CLI tool.