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Jan 31, 2017 - HTML
multivariate-distributions
Here are 26 public repositories matching this topic...
Random data generator from scratch. (Using numpy for simple mathematical functions only)
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Mar 16, 2018 - Python
UniBG modelli stocastici prova 00 a.a. 2017-2018
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Mar 24, 2018 - MATLAB
An object-oriented approach to implement anomaly detection in Python using semi-supervised learning
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Jun 9, 2018 - Jupyter Notebook
Machine Learning algorithms using Sklearn and Scikit python libraries for comparing their behaviour on anomaly detection
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Jun 28, 2018 - Jupyter Notebook
Multivariate independent comparison of observations
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Jul 30, 2018 - MATLAB
A simple utility to perform sampling from multivariate distributions (supported by a PyTorch backend)
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Jun 1, 2019 - Python
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Feb 13, 2020
A Collection of Basic Utilities for Statistical Analyses
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Jul 15, 2020 - C++
Robust estimation using heavy-tailed distributions
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Jul 19, 2020 - C
Here all my machine learning notebooks will be uploaded
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Aug 8, 2020 - Jupyter Notebook
Lottery analysis
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Oct 26, 2020 - HTML
Implementation of the Extreme Joint Distribution algorithm in C++
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Dec 5, 2020 - C++
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.
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Mar 31, 2021 - Kotlin
Collection of missing multivariate random number distributions for Modern C++ with STL-like API.
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Jun 7, 2021 - C++
Implemented from scratch a sampling method to draw samples from a multivariate Normal (MVN) distribution in JAX.
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Oct 28, 2022 - Jupyter Notebook
A Python Package to Create Synthetic Tabular Data
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Apr 8, 2023 - Jupyter Notebook
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.
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Apr 9, 2023 - MATLAB
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.
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Apr 15, 2023 - Jupyter Notebook
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