ml-lab / tensorly

TensorLy: Tensor Learning in Python.

TensorLy

TensorLy is a fast and simple Python library for tensor learning. It builds on top of NumPy, SciPy and MXNet and allows for fast and straightforward tensor decomposition, tensor learning and tensor algebra.

• Website: http://tensorly.github.io
• Source: https://github.com/tensorly/tensorly
• Jupyter Notebooks: https://github.com/JeanKossaifi/tensorly_notebooks

How to install

Easy option: install with pip

Simply run:

pip install -U tensorly

That's it!

Alternatively, you can pip install from the git repository:

pip install git+https://github.com/tensorly/tensorly

Development: install from git

The library is still very new and under heavy developement. To install the last version:

Clone the repository and cd there:

git clone https://github.com/tensorly/tensorly
cd tensorly

Then install the package (here in editable mode with -e or equivalently --editable):

pip install -e .

Running the tests

Testing and documentation are an essential part of this package and all functions come with uni-tests and documentation.

You can run all the tests using the nose package:

nosetests -v tensorly