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