An open-source numerical library for machine learning. Various functions related to deep learning based on neural networks are implemented. Users can implement complex network with flexible description, and can try various state-of-the-art methods. This package is used in a number of companies in the world. This package is written by the script language, lua.
An interface package to use Torch (the open-source numerical library for machine learning) from Python. Users can easily implement deep learning based on neural networks, and can use various state-of-the-art methods. This package supports GPGPU parallel computation, and realises high-speed operation. A front-end interface for C++ is also prepared.
An open-source numerical library for machine learning. Using other machine learning numerical libraries (TensorFlow, CNTK, Theano, etc.), users can construct neural networks by relatively short codes. Since a number of methods in machine learning and deep learning are implemented, users can try state-of-the-art methods easily. This package is written by Python.
An application for first-principles calculation based on the all-electron method. This application implements not only normal electronic state calculation (band calculation) but also a quasi-particle GW method for self-consistent (or one-shot) calculation of excitation spectrum and quasi-particle band. Combining with dynamical mean-field theory, self-consistent calculation including many-body effect can also be performed.
An open-source application for quantum chemical calculation. This package implements various methods for quantum chemical calculation such as Hartree-Fock approximation, density functional theory, coupled-cluster method, and CI (configuration interaction) method. The package is written in C++, and provides API for Python, by which users can perform for preparation of setting and execution of calculation.
QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code. Its main applications are electronic structure calculations of molecular, quasi-2D and solid-state systems. Variational Monte Carlo (VMC), diffusion Monte Carlo (DMC), orbital space auxiliary field QMC (AFQMC) and a number of other advanced QMC algorithms are implemented.
WannierTools is an open-source software package for investigation of novel topological materials. This code works in the tight-binding framework, which can be generated by another software package Wannier90. Users can perform calculations of the Wilson loop, positions of Weyl/Dirac points, nodal line structures, andthe Berry phase around a closed momentum loop and Berry curvature in a part of the Brillouin zone.
EDlib is an app for performing finite-temperature exact diagonalizations for quantum many-body systems. EDlib is written in C++ and it is possible to obtain finite-temperature properties such as the one-body Green’s function in the Hubbard model and the Anderson model.
QuSpin is a python package for performing exact diagonalization and real- or imaginary-time evolution for quantum many-body systems. Using QuSpin, for example, it is possible to study the many-body localization and the quantum quenches in the Heisenberg chain. Moreover, QuSpin specifies the symmetries in the systems such as the total magnetization, the parity, the spin inversion, the translation symmetry, and their combinations.
Pomerol is an app for calculation one- and two-body Green’s function at finite temperatures for the Hubbard-type model based on the full exact diagonalization. Pomerol is written in C++ and supports the hybrid parallelization (MPI+openMP).