A custom genetic algorithm is used to optimize the architecture of a deep neural network

Fast and flexible Gaussian Process regression in Python

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

Solving the Traveling Salesman Problem using Self-Organizing Maps

Figures and code examples from Bayesian Analysis with Python (third edition)

JModelica is a software platform based on the Modelica modeling language for modeling, simulating, optimizing and analyzing complex dynamic systems.

Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.