david-kevala

DALEX

moDel Agnostic Language for Exploration and eXplanation

darts

A python library for easy manipulation and forecasting of time series.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

from_fourier_to_koopman

Linear and non-linear spectral forecasting algorithms

gridds

label-dp

david-kevala/DALEX

moDel Agnostic Language for Exploration and eXplanation

david-kevala/darts

A python library for easy manipulation and forecasting of time series.

david-kevala/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

david-kevala/from_fourier_to_koopman

Linear and non-linear spectral forecasting algorithms

david-kevala/gridds

david-kevala/label-dp