Efficiently computes derivatives of NumPy code.

A derivative-free solver for general nonlinear optimization.

Hardware accelerated, batchable and differentiable optimizers in JAX.

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

A Python framework for Differential Evolution using pymoo.

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

Bayesian optimization in PyTorch

A next-gen Lagrange-Newton (SQP + barrier) solver for nonconvex constrained optimization

Simple, but essential Bayesian optimization package

An open source python library for scalable Bayesian optimisation.

Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org

A deep learning framework for symbolic optimization.

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

A header-only C++ library for L-BFGS and L-BFGS-B algorithms

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., C…

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…