kkaloudis Goto Github PK
Name: Konstantinos Kaloudis
Type: User
Company: University of the Aegean
Bio: Quant @ Qfin, Interests: Computational statistics & Complex systems
Location: Athens, Greece
Name: Konstantinos Kaloudis
Type: User
Company: University of the Aegean
Bio: Quant @ Qfin, Interests: Computational statistics & Complex systems
Location: Athens, Greece
Approximate Bayesian Computation with Optimal Transport (Part III essay)
A Julia package to perform Bifurcation Analysis
data-driven method and the most probable transition pathway
Here you will find materials for the course of Computational Finance
Julia implementation of the Dynamic Noise Reduction Replicator (DNRR) model: Kaloudis K., Hatjispyros S.J. (2018) A Bayesian nonparametric approach to dynamical noise reduction. Chaos 28(6).
Official repository for the preprint "On Sampling with Approximate Transport Maps" in PyTorch.
Julia implementation of Bayesian nonparametric reconstruction and prediction models for random dynamical systems. Paper: Merkatas C., Kaloudis K., Hatjispyros S.J. (2017) A Bayesian nonparametric approach to reconstruction and prediction of random dynamical systems. Chaos 27(6).
A Shiny app that simulates a basketball game between two different NBA team.
Julia code for the Maximum Entropy parametric estimation of the q-Exponential distribution, using Shannon and Renyi entropies.
Julia implementation of the Stable Manifold-Geometric stick breaking reconstruction (SM-GSBR) model, described in the paper: Hatjispyros S.J., Kaloudis K. (2019) A Bayesian nonparametric approach to the approximation of the global stable manifold, Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 123123.
Bayesian inference on random dynamical systems using R STAN (ongoing project).
Educational material and tutorials for the Turing language
R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.