Popular GitHub Repositories for Carbon Monoxide

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

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

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.

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"

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

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.

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.

Code for 'Mitigating Metropolitan Carbon Emissions with Eco-driving at Scale' published at Transportation Research Part C: Emerging Technologies (TR-C) 2025.

AutoMergeNet: a neural architecture search approach for automatic plume detection in TROPOMI images

针对可持续大型语言模型推理模拟和分析的，考虑功耗和碳排放的Vidur扩展

This Github repository contains a machine learning model that predicts the potability of water based on various parameters such as pH, hardness, solids, chloramines, sulfate, conductivity, organic carbon, trihalomethanes, turbidity, and potability. The model is built using Python and Scikit-learn libraries.

⚡ AI-powered energy consumption prediction app. Flutter + FastAPI + ML. Reduce bills & carbon footprint . Smart energy optimization! ?

Maternal exposure to black carbon and nitrogen dioxide during pregnancy and birth weight: Using machine-learning methods to achieve balance in inverse-probability weights