multivariate-distributions
There are 27 repositories under multivariate-distributions topic.
mohd-faizy/Probabilistic-Deep-Learning-with-TensorFlow
Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.
twolodzko/extraDistr
Additional univariate and multivariate distributions
JBris/multivariate_analysis_examples
Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.
tfm000/sklarpy
Copula fitting in Python.
bschieche/python-anomaly-detection
An object-oriented approach to implement anomaly detection in Python using semi-supervised learning
englianhu/lottery
道家：算卜、占卜、分析彩券
faosorios/heavy
Robust estimation using heavy-tailed distributions
nunofachada/micompm
Multivariate independent comparison of observations
nunofachada/micompr
Multivariate independent comparison of observations.
alfurka/synloc
A Python Package to Create Synthetic Tabular Data
amirmasoudabdol/baaraan
Collection of missing multivariate random number distributions for Modern C++ with STL-like API.
Prakash2403/data-generators
Random data generator from scratch. (Using numpy for simple mathematical functions only)
alexchelsea22/TEG-UC-ING_INDUSTRIAL
Programa Computarizado, elaborado en el lenguaje de programacion MATLAB, referente al Trabajo Especial de Grado para optar al Título de Ingeniero Industrial, en la Facultad de Ingeniería de la Universidad de Carabobo, año 2015; la cual fue reconocida con mención honorífica.
amaendle/PUcopula
Simulation of Partition-of-Unity copulas in R, e.g. for the purpose of modeling risk or for the creation of synthetic data based on restricted datasets
chiumichael/EJD
Implementation of the Extreme Joint Distribution algorithm in C++
Ramy-Badr-Ahmed/Random-Simplex
Random Simplex - https://doi.org/10.5281/zenodo.12808899
StatisKit/Core
A Collection of Basic Utilities for Statistical Analyses
TehreemAnsari/Machine-Learning
Machine Learning algorithms using Sklearn and Scikit python libraries for comparing their behaviour on anomaly detection
anuragmukherjee2001/Machine-learning-Notebooks
Here all my machine learning notebooks will be uploaded
fstrazzante/sms2-00
UniBG modelli stocastici prova 00 a.a. 2017-2018
JohannesBuchner/askcarl
Gaussian Mixture Model with support for heterogeneous missing and censored (upper limit) data.
n1ghtf4l1/congenial-computing-machine
Implemented from scratch a sampling method to draw samples from a multivariate Normal (MVN) distribution in JAX.
nmakes/multivariate-sampling
A simple utility to perform sampling from multivariate distributions (supported by a PyTorch backend)
occultus73/Multik-Apache-Math-Extension
Provides multivariate normal distribution sampling and matrix inversion for Jetbrain's new NDArray library Multik, by bodging it with some classes (including tests) from Apache Commons Maths 3 & 4, translated into Kotlin and made JVM independent for a Kotlin Multi-Platform project.