COMmon Bayesian Optimization Library (COMBO) is an open source python library for machine learning techniques. COMBO is amenable to large scale problems, because the computational time grows only linearly as the number of candidates increases. Hyperparameters of a prediction model can be automatically learned from data by maximizing type-II likelihood.
ComDMFT is a massively parallel computational package to study the electronic structure of correlated-electron systems. Users can perform a parameter-free method based on ab initio linearized quasiparticle self-consistent GW (LQSGW) and dynamical mean field theory (DMFT).
A fee-charging structure database of organic materials crystal structures. Three-dimensional structure data of small molecules and metal-organic crystals determined by the X-ray diffraction measurement can be downloaded. The data are compiled and distributed by the Cambridge Crystallographic Data Centre (CCDC).
An open-access database of crystal structures. This database includes structural data of organic, inorganic, metal-organic compounds and minerals. At the end of 2017, this database contains about 400,000 entries. Three-dimensional structures of crystals can be viewed by GUI on the web.