CTens
CTens is a modular software framework for tensor algebra and tensor-based computation. It is designed to support scientific computing, machine learning, and data analysis by providing a consistent interface for high-dimensional array operations and a set of optimized backends. CTens emphasizes performance, lazy evaluation, and expressive indexing, enabling users to describe complex tensor contractions and transformations at a high level while the system generates efficient low-level code.
Origins of CTens lie in a collaboration among researchers in physics, mathematics, and computer science who
CTens is designed around a backend-agnostic core that exposes tensor operations through a high-level API. It
Common use cases include physical simulations, quantum chemistry, and machine learning research, where large-scale tensor manipulations
CTens is released under an open-source license and is maintained by a distributed community of contributors.