Topic: "multivariate-distributions"
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.
Language: Jupyter Notebook - Size: 47.8 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 63 - Forks: 34

twolodzko/extraDistr
Additional univariate and multivariate distributions
Language: C++ - Size: 56.7 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 52 - Forks: 11

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.
Language: Python - Size: 40 KB - Last synced at: 20 days ago - Pushed at: 6 months ago - Stars: 18 - Forks: 3

bschieche/python-anomaly-detection
An object-oriented approach to implement anomaly detection in Python using semi-supervised learning
Language: Jupyter Notebook - Size: 323 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 4

englianhu/bolexiangma
易经道家:算卜、占卜、秦人牧马、田忌赛马、伯乐相马(世袭制易经道家学术份子联富我喜欢龙珠中的女科学家布玛/庄子。嫁鸡随鸡,嫁狗随狗)、分析彩券。
Language: HTML - Size: 939 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

faosorios/heavy
Robust estimation using heavy-tailed distributions
Language: C - Size: 105 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

nunofachada/micompr
Multivariate independent comparison of observations.
Language: R - Size: 1.7 MB - Last synced at: 22 days ago - Pushed at: 10 months ago - Stars: 3 - Forks: 1

nunofachada/micompm
Multivariate independent comparison of observations
Language: Matlab - Size: 365 KB - Last synced at: about 2 hours ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 2

alfurka/synloc
A Python Package to Create Synthetic Tabular Data
Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 30 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

JohannesBuchner/askcarl
Gaussian Mixture Model likelihood with support for heterogeneous missing and censored (upper limit) data.
Language: Python - Size: 2.77 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

amirmasoudabdol/baaraan
Collection of missing multivariate random number distributions for Modern C++ with STL-like API.
Language: C++ - Size: 619 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Prakash2403/data-generators
Random data generator from scratch. (Using numpy for simple mathematical functions only)
Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

LatiefDataVisionary/multivariate-analysis-college-task
Size: 26.6 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

anuhyasuri/gaussiandistribution
This repository contains the code for implementing Gaussian Distribution using Python
Language: Jupyter Notebook - Size: 430 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Ramy-Badr-Ahmed/Random-Simplex
Random Simplex - https://doi.org/10.5281/zenodo.12808899
Language: MATLAB - Size: 1.02 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

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
Language: R - Size: 633 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.
Language: MATLAB - Size: 5.8 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

n1ghtf4l1/congenial-computing-machine
Implemented from scratch a sampling method to draw samples from a multivariate Normal (MVN) distribution in JAX.
Language: Jupyter Notebook - Size: 271 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Chetan45s/Data-Science
Language: Jupyter Notebook - Size: 17.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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.
Language: Kotlin - Size: 175 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

chiumichael/EJD 📦
Implementation of the Extreme Joint Distribution algorithm in C++
Language: C++ - Size: 265 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

anuragmukherjee2001/Machine-learning-Notebooks
Here all my machine learning notebooks will be uploaded
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StatisKit/Core
A Collection of Basic Utilities for Statistical Analyses
Language: C++ - Size: 2.65 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 7

meganzj/harvard_probability_110
Size: 6.14 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

nmakes/multivariate-sampling
A simple utility to perform sampling from multivariate distributions (supported by a PyTorch backend)
Language: Python - Size: 1000 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

TehreemAnsari/Machine-Learning
Machine Learning algorithms using Sklearn and Scikit python libraries for comparing their behaviour on anomaly detection
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JadeYu/Paramount_project
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