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JSzitas/README.md

Hello! I’m Juraj Szitas, a somewhat mad Econometrician turned Data Scientist. I keep my open source stuff here - in the hopes that someone finds it useful. I work primarily on Time Series and Time Series ensembling.

Check out:

  • soothsayer if you like the fable framework and like the idea of meta learning for time series
  • blaze (WIP) A full fledged time series forecasting and analysis toolkit in modern C++.
    • contains a new (S)ARIMA(X) implementation leveraging SIMD
    • fully capable AR and AutoAR
    • Benchmark methods (Integrated Noise)
    • miscellaneous time series utility functions (seasonality identification, stationarity tests)
  • stack for some general notes on model stacking
  • gpvolatility for an implementation of a funky volatility model
  • treecoding for some interesting Trees and Forests (particularly an implementation of 'Autoencoder by Forest')
  • nlsolver Nonlinear optimizers as header-only, C++17 library.

I am currently building a lot of things in C++, for fun and profit :)

Pinned Loading

  1. soothsayer soothsayer Public

    Automatic Time Series Forecasting and Ensembling via Meta-learning

    R 1

  2. blaze blaze Public

    A C++17 implementation of ARIMA following R

    C++ 1

  3. nlsolver nlsolver Public

    Easy, header only nonlinear optimizers in C++17

    C++ 1

  4. treecoding treecoding Public

    A few happy little trees and forests. Nothing to see here folks :)

    R

  5. gpvolatility gpvolatility Public

    A highly experimental R implementation of https://proceedings.neurips.cc/paper/2014/file/a733fa9b25f33689e2adbe72199f0e62-Paper.pdf

    MATLAB

  6. categoryEncodings categoryEncodings Public

    Multiple methods to (quickly) encode factor variables, using data.table

    R 3 1