PyTorch Tutorial

This project is going to contain the material of the PyTorch tutorial.

Content

• 00-index Tutorial structure and PyTorch basics
• TODO Transfer learning for Computer Vision
• Intermission / Random Things
  • 0X_mean_shift_clustering Use the GPU to speed up mean shift clustering.
  • TODO RNNs from scratch
  • TODO Teacher forcing

Setup

Please make sure conda is installed. Then:

# create a conda environment
conda env create -f environment.yml

and activate the conda environment.

Download data and models for the tutorial:

python download_data.py

Then you should be ready to go.

To get the Table of Contenst displayed within jupyter lab do the following:

# install node
conda install -c conda-forge nodejs
# install the toc extension
jupyter labextension install jupyterlab-toc