Chaospy - Toolbox for performing uncertainty quantification.
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Updated
Sep 26, 2024 - Python
Chaospy - Toolbox for performing uncertainty quantification.
Variance Gamma distribution (Python): pdf, cdf, rand and fit.
Tools for creating and working with aggregate probability distributions.
A tool-box for prior elicitation.
Code for fitting a negative binomial distribution in Python
Conditional Associative Logic Memory
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.
Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba
Python library for Design and Analysis of Experiments
A pure python implementation of the Landau distribution, easy to install and to use
Retrieving, Processing, and Visualizing Data with Python
Longtail transforms RV from the given empirical distribution to the standard normal distribution
When dealing with any type of dataset it is important to create a probabilistic model of the data which would help to understand the dataset. The probabilistic model uses probability distribution which assists in explaining about dataset with the implementation of random processes. The main reason for this blog is that in recent years there has …
Training a network to sample from any probability distributions such as exponential distribution.
Examples of generating random variables from the basic probability distributions
A short demonstration of GANs learning a probability distribution
A python implementation of the skewed student-t distribution
根据选项概率自动生成并填写问卷调查的脚本,单选题的概率可以根据均值与方差中模拟(shopkeeper的虹吸算法)
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