Even though I have a public GitHub profile, most of my code these days is paid for and thus closed-source. So I cannot publish here the interesting code that I have most recently written.

Anyway, my programming philosophy is that the aim of programming is to reduce the complexity of a problem and to communicate that clearly to anyone reading the code.

Some of the lessons I learned over the 15 years of professional programming are summarized here:software-development-guidelines

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1. louisXW/MAVtslouisXW/MAVtsPublic

   Model Performance Analysis and Visualization for Time Series Forecasting

   Python 1

2. vqa-softvqa-softPublic

   Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

   C 15 3

3. HORDHORDPublic

   Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

   Python 115 22

4. ROSAROSAPublic

   Optimisation of black-box functions.

   Jupyter Notebook

5. Fast Hurst exponent calculationFast Hurst exponent calculation

   1

   importpandasaspd

   2

   importnumpyasnp

   3

   fromnumbaimportjit

   4

   5

   defcalc_hurst(series:pd.Series,n_wins:int=300):

6. Fast Kendall Tau calculation with py...Fast Kendall Tau calculation with pytorch.

   1

   importtorch

   2

   importtime

   3

   fromscipy.statsimportkendalltau

   4

   5

   defkendall(x,y):