This is an implementation of different optimization algorithms such as: - Gradient Descent (stochastic - mini-batch - batch) - Momentum - NAG - Adagrad - RMS-prop - BFGS - Adam Also, most of them are implemented in vectorized form for multi-variate problems

An Implementation of Genetic Algorithm Multivariables in MATLAB

Bayesian optimisation of prophet temperature model parameters with daily and yearly seasonalities plus extra regressors

Excel

Repository that contains a set of functions for bnlearn package discrete models: multi-variable prediction and evaluation metrics

Calculates the contours of a two dimensional normal distribution of a desired amount of probability.

Multivariate clustering of weather data. This is part of my research internship.

Explore the H1B Visa data from 2014 through a comprehensive multivariate analysis.

R package for displaying multivariate data through a quasi-Chernoff visualization

Parallel Coordinates visualization tool for n-D multivariate classifications

Multivariate visual analytics web application based on parallel coordinates (http://csteed.com/CrossVisWeb/)

multivariate_student_t_distribution_table_generator

This repository tracks changes related to the variate.json schema file to use with Variate.

Example application using Variate Vue plugin

A generator for synthetic, multivariate & heterogeneous datasteams with probabilistically repeating patterns.

Multivariate nonuniform random variate generator with arbitrary Lipschitz density

Mathematics for Machine Learning: Multivariate Calculus

JS / Node Library for Tweeker embed code

R package implementing the multivariate (multi-univariate) extension of the benchmarks used for the M