Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides full Bayesian inference for continuous-variable models through Markov chain Monte Carlo methods such as the No-U-Turn sampler, an adaptive form of Hamiltonian Monte Carlo sampling. Penalized maximum likelihood estimates are calculated using optimization methods such as the limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm. Stan is also a platform for computing log densities and their gradients and Hessians, which can be used in alternative algorithms such as variational Bayes, expectation propagation, and marginal inference using approximate integration. To this end, Stan is set up so that the densities, gradients, and Hessians, along with intermediate quantities of the algorithm such as acceptance probabilities, are easily accessible. Stan can be called from the command line using the cmdstan package, through R using the rstan package, and through Python using the pystan package. All three interfaces support sampling and optimization-based inference with diagnostics and posterior analysis. rstan and pystan also provide access to log probabilities, gradients, Hessians, parameter transforms, and specialized plotting.

This a collection of tools to run HypoDD by Felix Waldhauser. It takes event files in the QuakeML format, station data in the SEED format and waveform data in any format ObsPy can read and does all the rest. The output is one QuakeML file with the relocated events having one additional Origin node. The events that could not be relocated will not be changed.

Madagascar is an open-source software package for multidimensional data analysis and reproducible computational experiments. Its mission is to provide a convenient and powerful environment and a convenient technology transfer tool for researchers working with digital image and data processing in geophysics and related fields.

An index of all BuzzFeeds open-source data, analysis, libraries, tools, and guides, stored on GitHub.