To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Heritage persistent IDentifiers (SWHIDs) must be used instead of copying and pasting the url from the address bar of the browser (as there is no guarantee the current URI scheme will remain the same over time).
Select below a type of object currently browsed in order to display its associated SWHID and permalink.
About us ======== Origin ------ TensorLy was created in 2015 by `Jean Kossaifi`_ to make tensor methods accessible and easy. It was first presented at the NeurIPS `workshop <https://nips.cc/Conferences/2016/Schedule?showEvent=6230>`_ on "Learning with Tensors: Why Now and How?" and later published as a `JMLR paper <http://jmlr.org/papers/v20/18-277.html>`_ titled "TensorLy: Tensor Learning in Python", by `Jean Kossaifi`_, `Yannis Panagakis`_, `Anima Anandkumar`_ and `Maja Pantic`_. Originally, TensorLy was built on top of NumPy and SciPy only. In order to combine tensor methods with deep learning and run them on multiple devices, CPU and GPU, a flexible backend system was added. This allows algorithms written in TensorLy to be ran with any major framework such as PyTorch, MXNet, TensorFlow, CuPy and JAX. Core developers ----------------- TensorLy is first and formost a community aiming to make tensor learning easy and accessible. With a robust and active group of contributors, we would like to thank all those who have contributed, including (alphabetical order): * `Jeremy Cohen <https://jeremy-e-cohen.jimdofree.com/>`_ * `Julia Gusak <https://juliagusak.github.io/about/>`_ * `Meraj Hashemizadeh <http://www-ens.iro.umontreal.ca/~hashemis/>`_ * `Jean Kossaifi`_ * `Aaron Meurer <https://www.asmeurer.com/blog/about/>`_ * `Yngve Mardal Moe <https://github.com/yngvem>`_ * `Aaron Meyer <https://ameyer.me>`_ * `Taylor Lee Patti <https://www.linkedin.com/in/taylor-patti/>`_ * `Marie Roald <https://github.com/MarieRoald>`_ * `Caglayan Tuna <https://github.com/caglayantuna>`_ For a full list of contributors check the `Github page <https://github.com/tensorly/tensorly/graphs/contributors>`_. Supporters ---------- The TensorLy project is and has been supported by various organizations and universities: .. image:: _static/logos/logo_nvidia.png :width: 150pt :align: center :target: https://www.nvidia.com :alt: NVIDIA ........ .. image:: _static/logos/logo_inria.png :width: 150pt :align: center :target: https://www.inria.fr/fr :alt: INRIA INRIA is funding a full-time engineer to work on TensorLy. ........ .. image:: _static/logos/logo_imperial.png :width: 150pt :align: center :target: https://www.imperial.ac.uk :alt: Imperial College London ........ .. image:: _static/logos/logo_caltech.png :width: 150pt :align: center :target: https://www.caltech.edu :alt: California Institute of Technology ........ .. image:: _static/logos/logo_athens.png :width: 150pt :align: center :target: https://en.uoa.gr :alt: National and Kapodistrian University of Athens ........ .. image:: _static/logos/logo_skoltech.png :width: 150pt :align: center :target: https://www.skoltech.ru/en/ :alt: Skolkovo Institute of Science and Technology ........ .. image:: _static/logos/logo_ucla.png :width: 150pt :align: center :target: https://www.ucla.edu/ :alt: UCLA ........ .. _Jean Kossaifi: http://jeankossaifi.com/ .. _Yannis Panagakis: https://ibug.doc.ic.ac.uk/people/ypanagakis .. _Maja Pantic: https://ibug.doc.ic.ac.uk/maja/ .. _Anima Anandkumar: http://tensorlab.cms.caltech.edu/users/anima/