rmaestre Goto Github PK

additiveregressionspline

Spline regression and additive models (Simple introduction with C++). We provide an example of C++ implementation of additive regression splines through Rcpp and RcppArmadillo.

amazon-sentiwordnet

Amazon reviews datasets study through extended sentiwordnet domain

anomalydetection

Anomaly Detection with R

bayesian_nonparametrics

Slides and code for Bayesian nonparametrics in R and Julia

cayman

Cayman is a Jekyll theme for GitHub Pages

cevae

Causal Effect Inference with Deep Latent-Variable Models

d4d-challenge

dtw

DTW (Dynamic Time Warping) python module

ebots

Exploring evolutionary robotics through simulation.

eda-and-data-viz

Curso de EDA y Dataviz

fastdtw

FastDTW- Dynamic Time Warping (DTW) with a linear time and memory complexity

financial-unitex

financial unitex

generalized-kmeans-clustering

This project generalizes the Spark MLLIB K-Means clusterer to support arbitrary distance functions

gis-tools-for-hadoop

The GIS Tools for Hadoop are a collection of GIS tools for spatial analysis of big data.

gmm

Gaussian Mixture Model Implementation in Pyspark

gradient-descent-study

Basic notebooks to explore several GD (GD, SGD, mini-batch SGD, ...) algorithms

h2o-3

Fast Scalable Machine Learning API For Smarter Applications

hts

hts package for R

k-fold-cross-validation

K-fold model and algorithm validation

ml-code-lectures

This repo has been implemented from scratch and serves as base to the PhD and MSc courses that I have imparted on Business and Data Science

mmck-ctmarkovchain

M/M/c/k script to simulate this kind of tail system

monte-carlo-estimation

Monte Carlo simulation, or probability simulation, is a technique used to understand the impact of risk and uncertainty in financial, project management, cost, and other forecasting models.

montecarlo-simulation

Montecarlo simulation examples

multi-objective-simulated-annealing

Multi Objective Simulated Annealing algorithm sample

mutual-information

In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual dependence of the two random variables. This script performs MI over Mutual Information over discrete random variables

nn-asteroseismology

Neural Network application on Asteroseismology.

node2vec

parallelgbc

Parallel Groebner Basis Computation

py-earth

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

pylibmc

A Python wrapper around the libmemcached interface from TangentOrg.