"This notebook gives a quick introduction to Tensor decomposition. However, the main purpose of this notebook is to focus on the implementation of tensor decomposition in Python. In line with these ...

A replacement for NumPy to use the power of GPUs. A deep learning research platform that provides maximum flexibility and speed. If you use NumPy, then you have used Tensors (a.k.a. ndarray). PyTorch ...

This paper introduces the first release of Pytearcat, a Python package developed to compute tensor algebra operations in the context of theoretical physics, for instance, in general relativity. Given ...

Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...

Abstract: Digital processing-in-memory (PIM) architectures mitigate the memory wall problem by facilitating parallel bitwise operations directly within the memory. Recent works have demonstrated their ...