DiTEC-project/gnn-pressure-estimation
DiTEC research
This tool helps water utility managers and engineers accurately estimate water pressure throughout their water distribution networks. It takes your existing network topology files (INP files) and generates realistic demand and reservoir head data, then outputs a trained model that can predict pressure at various points in the system. This is designed for professionals managing water infrastructure.
No commits in the last 6 months.
Use this if you need to reliably predict water pressure across your water distribution system using your network's specific layout and operational data.
Not ideal if you're looking for a simple, plug-and-play application with a graphical interface, as this requires command-line interaction and some technical setup.
Stars
23
Forks
9
Language
Python
License
MIT
Category
Last pushed
Apr 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/DiTEC-project/gnn-pressure-estimation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
a-r-j/graphein
Protein Graph Library
raamana/graynet
Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM...
pykale/pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for...
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.