GitHub / KlausHerburger / LearningToSimulateMaterialFlow
In this project a Machine Learning model is trained for learning a simulator for Material-Flow systems, where the Machine Learning model is based on Graph Neural Networks. The data for training the model is generated using an accurate physicbased simulator.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KlausHerburger%2FLearningToSimulateMaterialFlow
PURL: pkg:github/KlausHerburger/LearningToSimulateMaterialFlow
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 49.5 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: over 2 years ago
Topics: graph-neural-networks, graphnet, machine-learning, material-flow, physics-simulation, simulation, sonnet, tensorflow