Other codes

TS-LSNM:
https://github.com/gkikuchi/TSLSNM
Genta Kikuchi and Shohei Shimizu. Structure Learning for Groups of Variables in Nonlinear Time-Series Data with Location-Scale Noise. In Proc. Causal Analysis Workshop 2023 (CAWS2023), PMLR 223:20-39, 2023. 

Cyclic causal discovery:
https://github.com/cdt15/lingd
Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, and Patrik O. Hoyer. Discovering cyclic causal models by independent components analysis. In Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI'08). AUAI Press, Arlington, Virginia, USA, 366– 374, 2008.

adaptive logistic lasso (Python wrapper):
https://github.com/cdt15/ada_logistic_reg