kostastsa

artificial-soc

A python implementation of the artificial society game "SugarSpace" introduced in the book "Growing Artificial Societies" by J.Epstein and R.Axtell

BayesianFiltering

A set of functions and scripts to generate SSM data and perform Bayesian inference via various methodologies.

cpgraph

A R package for HD changepoint detection in mean and graph change models.

dynamax

State Space Models library in JAX

jekyll-data-example

k-means-example

Home-made implementation of the k-means clustering method.

kostastsa

kostastsa.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

pybdm-1

Python implementation of block decomposition method for approximating algorithmic complexity

svm-sgd

Implementation of a linear support vector machine with stochastic gradient descent, trained on the MNIST dataset

kostastsa/svm-sgd

Implementation of a linear support vector machine with stochastic gradient descent, trained on the MNIST dataset

kostastsa/artificial-soc

A python implementation of the artificial society game "SugarSpace" introduced in the book "Growing Artificial Societies" by J.Epstein and R.Axtell

kostastsa/BayesianFiltering

A set of functions and scripts to generate SSM data and perform Bayesian inference via various methodologies.

kostastsa/cpgraph

A R package for HD changepoint detection in mean and graph change models.

kostastsa/dynamax

State Space Models library in JAX

kostastsa/jekyll-data-example

kostastsa/k-means-example

Home-made implementation of the k-means clustering method.

kostastsa/kostastsa

kostastsa/kostastsa.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

kostastsa/pybdm-1

Python implementation of block decomposition method for approximating algorithmic complexity

kostastsa/topic-modelling-lda

We implement the Latent Dirichlet Allocation model for topic modelling on a dataset of BBC articles

kostastsa/sbibm

Simulation-based inference benchmark