Chaospy - Toolbox for performing uncertainty quantification.
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Updated
Jul 17, 2024 - Python
Chaospy - Toolbox for performing uncertainty quantification.
A tool-box for prior elicitation.
A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.
Tools for creating and working with aggregate probability distributions.
Conditional Associative Logic Memory
Bayesian Conjugate Models in Python
Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
Python library for Design and Analysis of Experiments
Variance Gamma distribution (Python): pdf, cdf, rand and fit.
PyCon 2020 Talk on "what probability distributions are"
Generate the Tracy-Widom distribution functions for beta = 1, 2, or 4 in Python
stopwordgen automatically builds the stop words for a given dataset.
Python library for dealing with uncertainties and upper/lower limits
Longtail transforms RV from the given empirical distribution to the standard normal distribution
A python implementation of the skewed student-t distribution
fasterscipydists provides faster scipy.stats distributions
A pure python implementation of the Landau distribution, easy to install and to use
Retrieving, Processing, and Visualizing Data with Python
Code for fitting a negative binomial distribution in Python
My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba
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