AI4A-lab/Hybrid-ML-DL_Nanofluid-Density-Predictor

This repository contains code for a comprehensive hybrid machine learning and deep learning frameworks for accurately predicting hybrid nanofluid density using stacking ensembles, advanced data augmentation, and metaheuristic optimization techniques.

11
/ 100
Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 2 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

2

Forks

—

Language

—

License

MIT

Category

cfd-ml-integration

Last pushed

Mar 09, 2025

Commits (30d)

0

GitHub
CFD ML Integration · 66 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AI4A-lab/Hybrid-ML-DL_Nanofluid-Density-Predictor"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

tum-pbs/PhiFlow

A differentiable PDE solving framework for machine learning

76

pdebench/PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

70

peterdsharpe/NeuralFoil

NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine...

69

ArnauMiro/pyLowOrder

High performance parallel reduced order Modelling library

60

lettucecfd/lettuce

Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method

60

Explore ML Frameworks

All categories Trending ML Framework directory Insights