Alternative regression model algorithms for machine learning

I am looking for not so known regression models and if possible a python library that implements it.

In my quiver I have:

• Generalized Linear Models, Linear, Lasso, Ridge…
• Decision Tree based model: CART, Random Forest, Gradient Boosting Decision trees(xgb,lightgbm,catboost)
• Support Vector Machines
• Knn Regressor
• Neural Networks

Are there regression algorithm less known? I am looking for alternatives models to add to my quiver.

Multiple regression
multivariate regression
Mixed Models
elastic search
Partial Least Squares regression
Logistic regression
Bayesian regression and many more..