Python package for early warning signals (EWS) of bifurcations in time series data.

Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)

A Julia package for critical transitions in dynamical systems with time-dependent forcing

Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection

Codes of our publication: Kong, Ling-Wei, Hua-Wei Fan, Celso Grebogi, and Ying-Cheng Lai. "Machine learning prediction of critical transition and system collapse." Physical Review Research 3, no. 1 (2021): 013090.

Predicting Critical Transitions in Multiscale Dynamical Systems Using Reservoir Computing

GGOT: A Gaussian graphical optimal transport method to detecting disease tipping points

Assess sensitivity and performance of EWS for critical tansitions.

Models of Bak-Tang-Wiesenfeld, Manna, Feders and stochastic Feders sand piles on cellular automaton and random graphs in Python 3

Statistical and multifractal analysis of early warning signals in financial time series with hourly data in Python 3 for bachelor's diploma