Collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.

A C++ ARPACK-NG wrapper compatible with multiple matrix libraries

PyTorch C++ API Documentation

DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as implemented in ITensor. Most of the computations can be perfor…

Converters between Armadillo matrices (C++) and Numpy arrays using Pybind11

Impurity dynamics using MPS with orbital rotation

ITensor implementation of the time dependent variational principle (TDVP) algorithm for finite MPS

A cross-platform Qt IDE

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Seamless operability between C++11 and Python

Cross factorization of tensors

Python implementation of the TT-Toolbox

JSON schema validator for JSON for Modern C++

Pipelines for expressive code on collections in C++

Reference Implementation for stdBLAS

Reference implementation of mdspan targeting C++23

Maximum-volume submatrices for Julia

A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays

A header-only C++ library for large scale eigenvalue problems

Using nlohmann::json with pybind11

Exact diagonalization to the quantum many-body problem using group theory in the Fock basis

JSON for Modern C++

A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)

Variational tensor train

A C++ library for efficient tensor network calculations

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs