Course repository for "Computational Methods in Stochastics" at AALTO Univeristy in Helsinki
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Updated
Jan 19, 2023 - Jupyter Notebook
Course repository for "Computational Methods in Stochastics" at AALTO Univeristy in Helsinki
This repository consist of a compendium of assignments and their respective solutions for an advanced course in Applied Bayesian Statistics
Bayesian approach to PDE-based Robin inverse problems
The code I used for researching black holes using gravitational wave data for my Bachelor's Thesis.
Computational & Deep Learning Frameworks Benchmark
Package Infrastructure for Bayesian Markov-Chain Monte Carlo Sampler | Summer Term 2021
R program for a metropolis-hastings based MCMC sampler using a multivariate-normal proposal distribution.
Package to visualize multidimensional data with hexbin corner plots.
This repository contains the Python modules and scripts to reproduce the results in the paper "Catanach, Vo, Munsky. IJUQ 2020."
Gradient-informed particle MCMC methods
Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://arxiv.org/abs/2203.09940
Deep Bayesian Modelling using Edward & Tensorflow
A new project to explore and develop ML intuition from the ground up.
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