Machine learning with uncertainty quantification and interpretatbility

Bayesian inference and conformal prediction (prediction intervals) in nnetsauce v0.18.1

rtopy (v0.1.1): calling R functions in Python, based on the command line and text mining and caching tools.

ahead version 0.10.0 in R, Python and Julia; univariate and multivariate time series forecasting.

Download data from the R-Universe API with nnetsauce. Automated Machine Learning, Interpretability and prediction intervals using conformal prediction.

nnetsauce's version 0.17.0 is available

Hyperparameter tuning with GPopt, based on Gaussian processes

Hyperparameter tuning with GPopt, based on Gaussian processes

Subsampling continuous and discrete response variables in nnetsauce version 0.16.3

Diffusion models in Python with esgtoolkit (Part2).