Data on CO2 and greenhouse gas emissions by Our World in Data
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Updated
Jun 26, 2024 - Python
Data on CO2 and greenhouse gas emissions by Our World in Data
Extract data from ISOs and other energy grid sources
eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.
Measure energy and carbon consumption of software
📦🐍 Python package to model and forecast the risk of deforestation
Eco CI Energy estimation for Github Actions Runner VMs
👣 Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).
Library and API to calculate CO2 emissions for personal mobility.
🌍 📝 Modelling and forecasting deforestation in the tropics
Code Repository for: "Multitask Learning for Estimating Power Plant Greenhouse Gas Emissions from Satellite Imagery" from NeurIPS 2021 Workshop on "Tackling Climate Change with Machine Learning"
A machine learning project aiming to analyze and predict CO2 emissions from country parameters such as economic indicators, population, energy use, land use, etc., provided by the World Bank.
📦🐍 Mapping deforestation risk following JNR methodology
Final year Co2 Emission Prediction Using Machine Learning Project with source code and documents. Btech Final Year Project
Tracks an open-source stack of services that monitor the energy and CO2-eq emissions of IOS-XR, NX-OS devices, Meraki switches, UCSs, ACI APIC nodes, Eaton and Raritan PDUs.
Experimenting with various regression models, we try to arrive at the most accurate prediction of the CO2 emission of a new car model
Python package to calculate work related CO2 emissions from heating and electricity consumption as well as business trips and commuting.
A Machine Learning Model to predict CO2 Emissions in different type of Cars
👧 Greta is an agile voice assistant to help reduce your carbon footprint.
Dynamic CPU/GPU power scaling to maximize renewable energy usage and reduce emissions
This library opens up the idea of the CO2-countdown to creative communities of coders, designers and artists using the p5*js project.
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