nse-nn-lpv 0.0.3

Helper functions for NSE as LPV with Neural Networks

Neural Networks for NSE as low-dimensional LPV

Active workflow

Installation

# package for sparse cholesky factorizations 
# not needed but speed up with FEM norms and POD
apt install libsuitesparse-dev
pip install scikit-sparse==0.4.5

# fenics -- for the FEM part
apt install fenics  # see https://fenicsproject.org/download/

# install this module and helper modules
pip install .

Generate the data

cd ../simulations-training-data
mkdir simu-data
mkdir train-data
source start-generic-tdp-sim.sh
# python3 time_dep_nse_generic.py
cd -

Check the NN

python3 data_fem_checks.py
python3 CNN_AE.py

Python Machine-Learning Resources

• an overview
  1. Tensorflow -- see below
  2. Pytorch -- see below
  3. NeuroLab
  4. ffnet
  5. Scikit-Neural Network
  6. Lasagne
  7. pyrenn

Tensorflow

• website
• Article for understanding NN using TensorFlow
• Previous experience with building NN
• Visualization feature TensorBoard
• Based on keras

PyTorch

• website
• Tutorial for simple NN
• Recommended by colleagues (Lessig, Richter)

Scikit-Learn

• website
• looks well maintained
• many routines for data processing
• a few on neural network

Install

# not needed anymore
# pip install -e .  # Python3 needed here! install the module (and one dependency)

pip install -e installs the module nse_nn_lpv to be used in the tests/... but keeps track of all changes made in nse_nn_lpv.