https://github.com/tensorly/proceedings_ieee_companion_notebooks

TensorLy code for the IEEE special issue on tensor methods for DL and CV
https://github.com/tensorly/proceedings_ieee_companion_notebooks

Last synced: about 1 year ago
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TensorLy code for the IEEE special issue on tensor methods for DL and CV

• Host: GitHub
• URL: https://github.com/tensorly/proceedings_ieee_companion_notebooks
• Owner: tensorly
• Created: 2020-07-21T17:45:45.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-06-19T16:29:50.000Z (almost 5 years ago)
• Last Synced: 2025-03-25T20:11:13.667Z (about 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 9.72 MB
• Stars: 10
• Watchers: 3
• Forks: 10
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

          
# IEEE Companion notebooks

## Installing the dependencies

The easiest way to get all the dependencies is to run:

```

pip install -r requirements.txt

```

If you are using conda, you probably want to install `scikit-learn` using conda. 

For PyTorch and torchvision, you can install them using conda by running:

```

conda install -c pytorch pytorch torchvision

```