{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/tensorly-tensor-learning-in-python","title":"TensorLy: Tensor Learning in Python","arxiv_id":"1610.09555","date":"2016-10-29","proceeding":null,"authors":["Jean Kossaifi","Yannis Panagakis","Anima Anandkumar","Maja Pantic"],"abstract":"Tensors are higher-order extensions of matrices. While matrix methods form\nthe cornerstone of machine learning and data analysis, tensor methods have been\ngaining increasing traction. However, software support for tensor operations is\nnot on the same footing. In order to bridge this gap, we have developed\n\\emph{TensorLy}, a high-level API for tensor methods and deep tensorized neural\nnetworks in Python. TensorLy aims to follow the same standards adopted by the\nmain projects of the Python scientific community, and seamlessly integrates\nwith them. Its BSD license makes it suitable for both academic and commercial\napplications. TensorLy's backend system allows users to perform computations\nwith NumPy, MXNet, PyTorch, TensorFlow and CuPy. They can be scaled on multiple\nCPU or GPU machines. In addition, using the deep-learning frameworks as backend\nallows users to easily design and train deep tensorized neural networks.\nTensorLy is available at https://github.com/tensorly/tensorly","url_abs":"http://arxiv.org/abs/1610.09555v2","url_pdf":"http://arxiv.org/pdf/1610.09555v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"tensorly-tensor-learning-in-python","repo_url":"https://github.com/tensorly/tensorly","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":null,"task_name":"CPU"},{"task_slug":null,"task_name":"GPU"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1610.09555","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}