Popular GitHub Repositories for Carbon Emission

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.

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"

Whole Body Positron Emission Tomography Attenuation Correction Map Synthesizing using 3D Deep Networks

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

A Python-based C compiler for x86-64, featuring full parsing, semantic analysis, IR generation, and assembly code emission.

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

Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process

Samples for fine-tuning HuggingFace models with AzureML

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

[ECC 2022] Codebase for the paper titled "Learning Eco-Driving Strategies at Signalized Intersections".

Frontend for C, concentrating on: generation from code; single-file analysis; modification; and emission (prettyprinting).

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.

Sensor selection for process monitoring based on deciphering acoustic emissions from different dynamics of the Laser Powder Bed Fusion process using Empirical Mode Decompositions and Interpretable Machine Learning