Mario Becerra's Projects
Repositorio para el concurso de datos abiertos HackCDMX 2015, equipo AC016.
My solutions to different Hackerrank problems.
Code for paper "Bayesian I-optimal designs for choice experiments with mixtures" by Mario Becerra and Peter Goos.
Linear Programming Project 1 (Simplex Phase II)
My personal website.
model uncertainty using mc dropout
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".
Homeworks and projects for the Multivariate Analysis course at ITAM
Neural Networks with MC Dropout code based on the Code by Yarin Gal in his "DropoutUncertaintyExps" repo. Updated net.py and added an example.
Real Estate Sales in NYC
R package that creates Bayesian I- and D-optimal designs for choice models involving mixtures of ingredient proportions
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
R code that solves a linear problem of the form min c^T x s.t. Ax <= b
A simple example of using the BRENT C++ library in an Rcpp-based R package
a pipeline for single cell RNA-seq data analysis
Trabajo final de simulación: Modelos de Pérdida Agregada en Riesgo de Crédito
Una plantilla (NO OFICIAL) para las tesis del ITAM
Implementation of a recommender system based on matrix factorization and stochastic gradient descent (Applied Mathematics BSc dissertation thesis)
Algoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades
Scripts that I use to install the main programs that I work with every day.
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
R functions I use
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent