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deep's Introduction

DEEP

Data-driven Embedded Echosystem for Propulsion and Power applications

Applications

  • Data-driven model for single-stage centrifugal compressor
  • Data-driven model to replace expensive non-linear equation of state evaluations in CFD computations

Developers

  • A. Giuffre', PhD Researcher, Propulsion & Power, TU Delft
  • E. Bunschoten, PhD Researcher, Propulsion & Power, TU Delft
  • A. Cappiello, Post-Doc Researcher, Propulsion & Power, TU Delft
  • M. Majer, PhD Researcher, Propulsion & Power, TU Delft
  • M. Pini, Assistant Professor, Propulsion & Power, TU Delft

Pre-requisites

Python 3.x
NumPy
SciPy
TensorFlow
PyTorch
GPyTorch
scikit-learn
MatPlotLib

Installation with conda is recommended

deep's People

Contributors

andrea-giuffre avatar

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