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- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
.github
PublicTechtonique.github.io
Publicmlsauce_r
PublicMiscellaneous statistical/machine learning stuffmlsauce
PublicMiscellaneous Statistical/Machine Learning stuff (currently Python & R)GPopt
PublicBayesian optimization using Gaussian Process regression (Python)staged-recipes
Publicbcn
PublicBoosted Configuration (Neural) Networksbcn_python
PublicBoosted Configuration (neural) Networkslearningmachine_python
Publiclearningmachine
PublicMachine Learning with uncertainty quantification and interpretabilitytechtonique-excel
Publicahead_python
PublicUnivariate and multivariate time series forecasting, with uncertainty quantification (Python & R)ahead
PublicUnivariate and multivariate time series forecasting, with uncertainty quantification (Python & R)nnetsauce_r
PublicRandomized and quasi-randomized nnetworks for supervised learning and multivariate time series forecastingesgtoolkit
PublicTools for Stochastic Simulation using diffusion models (R).crossvalidation
Publicteller
PublicModel-agnostic Statistical/Machine Learning explainability (currently Python) for tabular dataquerier
Publicrtopy
Publicesgtoolkit_python
PublicAhead.jl
PublicLearningMachine.jl
PublicNnetsauce.jl
PublicforecastingAPI_r
Publicycinterextra
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