Asdfasdf

A plugin of Express.jl for handling the ab initio software Quantum ESPRESSO

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A package to handle data generated by QMSim

Wrappers to differentiate `ModelWrapper` structs, see ModelWrappers.jl.

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Bayesian regression models for size-and-shape data

Julia wrapper for the Python Rhodium package

A thin wrapper around the python PyMBAR

Python extensions relating to Caesar.jl

Base package for JuliaPsychometricsBazaar ecosystem

Base package for JuliaPsychometricsBazaar ecosystem

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A toolkit for progeny testing simulation

Build equations with informative errors for missing variables by explicitly assigning a process to each variable of the equations

Parameter estimation under uncertainty.

Global sensitivity analysis in a subspace of total parameter space

Test cases for BAT.jl and for Bayesian Julia software in general

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Base data analysis methods for Paliquant

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Postprocessing of data obtained by numerical simulations or measurements

Julia package with methods for computing options pricing, profit and loss

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This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

Yujie's customized plotting utilities

Pilot library for NLP convolutional nets in Julia

Implementation of the pHcalc library by Ryan Nelson at https://github.com/rnelsonchem/pHcalc

A package for the calculation of steady state coverages for a given gas composition, T and p

This package is a part of RSim, however, may also be used as an independent package for the calculation of source terms from an xml mechanism input file

Explores representations based on bag words

Implementation of Persistent Homology Transform

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Compute the Pearson correlation to be used in Gaussian copulas

An extension of PDMats to use singular covariance matrices

Julia implementation of PCCA+

Heuristic methods for assessing approximate unidimensionality of data matrix.

A visualization package for the OpticSim Julia package

Systematic way of defining observation schemes for stochastic processes