ETH Zurich AI Researchers Introduce ‘tntorch’: a PyTorch-Powered Tensor Learning Python Library That Supports Multiple Decompositions Under a Unified Interface

Tensors are an effective method for handling and representing multidimensional data arrays. However, they have a limitation in terms of storage and computation. Tensor decompositions are crucial in machine learning because they factorize the weights of neural networks. This research introduces tntorch, an open-source python package for tensor learning that supports several decompositions through a single user interface. In contrast to the state-of-the-art packages, tntorch emphasizes an easy-to-use, decomposition-independent interface inherited from PyTorch. 

🚦 An open-source python package for tensor …

ai artificial eth zurich learning library python pytorch researchers tensor zurich