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1. Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)

   Jupyter Notebook 21 4

2. Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)

   R 23 6

3. Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data

   HTML 9 2

4. Bayesian optimization using Gaussian Process regression or conformal prediction (Python)

   HTML 4

5. Tools for Stochastic Simulation using diffusion models (R).

   HTML 13 4

6. Miscellaneous Statistical/Machine Learning stuff (currently Python & R)

   Jupyter Notebook 12 2