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Notebooks for IPAM Tutorial, March 15 2019

License: MIT License

Jupyter Notebook 96.11% Python 3.89%

ipam_tutorial_2019's Introduction

IPAM Tutorial on Spectral and Graph ConvNets

Notebooks for IPAM Tutorial, March 15 2019

https://www.ipam.ucla.edu/programs/workshops/geometry-and-learning-from-data-tutorials


Xavier Bresson

http://www.ntu.edu.sg/home/xbresson
https://github.com/xbresson
https://twitter.com/xbresson
https://www.facebook.com/xavier.bresson.1





Installation

# Conda installation
curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh # Linux
curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh # OSX
chmod +x ~/miniconda.sh
./miniconda.sh
source ~/.bashrc
#install https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe # Windows

# Clone GitHub repo
git clone https://github.com/xbresson/IPAM_Tutorial_2019.git
cd IPAM_Tutorial_2019

# Install python libraries
conda env create -f environment.yml
source activate ipam2019

# Run the notebooks
jupyter notebook

ipam_tutorial_2019's People

Contributors

xbresson avatar

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