mariobecerra

Tesis_LMA

Implementation of a recommender system based on matrix factorization and stochastic gradient descent (Applied Mathematics BSc dissertation thesis)

Active_Learning_CNNs

Active Learning with approximations of Bayesian Convolutional Neural Networks.

mixture_pv_choice_models_paper_code

GLM_final

Bayesian multilevel modeling of real estate sales in NYC

mariobecerra

opdesmixr

R package that creates Bayesian I- and D-optimal designs for choice models involving mixtures of ingredient proportions

EconTwitter

i_opt_mixture_choice_models_code

Code for paper "Bayesian I-optimal designs for choice experiments with mixtures" by Mario Becerra and Peter Goos.

msc_thesis

Latex code for my computer science master thesis, "A comparison of frequentist methods and Bayesian approximations in the implementation of Convolutional Neural Networks in an Active Learning setting".

atom_settings

backprop_shallow_ann

Backpropagation for gradient descent in Rcpp for shallow artificial neural network

bayes-ab-testing

Calculators for evaluating A/B tests using Bayesian inference

btyd_baz

R package for Customer Behavior Analysis. Fork from https://github.com/mplatzer/BTYDplus/

chollrup

Matlab MEX commands for updating and downdating Cholesky factors after rank one changes

cobble_hunters

coordinate_exchange_mixtures

Coordinate exchange algorithm for Scheffé mixture models

Data

Small datasets that can be used for analysis

data_vis_project_2020

fruit_flies

garden_sprinkler_simulator

icmc22_talk_code

maps_print

mariobecerra.github.io

My personal website.

mda_project

Neural-Networks-with-MC-Dropout

Neural Networks with MC Dropout code based on the Code by Yarin Gal in his "DropoutUncertaintyExps" repo. Updated net.py and added an example.

scPipe

a pipeline for single cell RNA-seq data analysis

SGO-FIG

UpSetR

An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..

UpSetR2

wellbeing_religiosity_analysis