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A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

C++ template library for probabilistic programming

Julia and C++ Implementations of the bayesian blocks algorithm https://arxiv.org/abs/1207.5578

Fast Bayesian Hidden Markov Model with Wavelet Compression

Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)

Bayesian poissonian histogram decomposition engine for the GERDA experiment

Bayesian Functional Mixed Membership Models

A Bayesian grouped mixture of regressions model capable of estimating SNP marker effect sizes for multiple outcomes simultaneously

Implement a 2 dimensional particle filter in C++ given a map and some initial localization information (analogous to what a GPS would provide). At each time step, the filter gets observation and control data

High-Performance Descriptive Statistics and Hypothesis Tests in C++20

MIC using Rcpp

G-PhoCS is a software package for inferring ancestral population sizes, population divergence times, and migration rates from individual genome sequences.

Bayesian calibration of computer codes using sequential and adaptive approaches

Homing Piegon is an inference framework implementing Variational Message Passing. It can be used to implement an Active Inference agent that performs planning using a Tree Search algorithm that can been seen as a form of Bayesian Model Expansion.

An algorithm for bayesian regression with uncertainties in all dimensions.

A bayesian network engine built as final project for the "Tópicos para ciencias de la computación" machine learning course on 2018 at UPC

All code used for Improving the stability of bivariate correlations using informative Bayesian priors: A Monte Carlo simulation study

Assessing tensions between Gaussian-distributed data

Graduate level Artificial Intelligence coursework