beethoven
by NIEHS
BEETHOVEN is: Building an Extensible, rEproducible, Test-driven, Harmonized, Open-source, Versioned, ENsemble model for air quality
AI summary
Air Quality Ensemble Model
Building an ensemble model for air quality analysis by integrating multiple base learners and meta-learners with various optimizers and scoring functions.
- stars
- 5
- forks
- 0
- watching
- 5
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Data Access Library
A package providing a standardized mechanism for accessing and utilizing large-scale environmental data in R.
Ensemble framework
A Python library for building and training ensemble machine learning models
Air Quality Calculator
This project provides a software tool for calculating air quality and deposition fields.
Ensemble builder
A tool to automate the creation and optimization of stacked machine learning ensembles.
MoE model
A high-performance mixture-of-experts model with innovative training techniques for language processing tasks
nvlabs/edm1.4K
Generative model framework
This project provides a set of tools and techniques to design and improve diffusion-based generative models.
Emissions processing tools
Tools for processing emissions data for air quality models
Air Quality Analysis Toolkit
A toolbox for analyzing Canadian air quality data from the NAPS program
Ensemble learner
A Python library implementing Stacked Generalization (Ensemble Learning) for combining multiple machine learning models to improve prediction accuracy.
usepa/cmaq286
Air quality simulator
Software used to simulate air quality by modeling atmospheric chemistry and dispersion
Air quality client
An ES6 promise-based client for accessing OpenAQ API data
Energy Model
Develops a comprehensive, open-source energy system model to inform decarbonization pathways and climate policy in Ireland.
Model downcaster
A Django project that simplifies the use of inherited models by automatically downcasting and providing features for filtering, querying, and combining models.
Air pollution analysis
Provides R functions for analyzing air pollution data from the CETESB qualitative system.
atmospheric model simulator
A flexible Python framework for simulating the dynamics of atmospheric models in midlatitudes
Featured in 1 awesome list
Each link jumps to the spot where the list mentions beethoven.
