Geometric programming for engineers

constrained nonlinear optimization for scientific machine learning, UQ, and AI

optlang - sympy based mathematical programming language

Python library for optimizing noisy functions.

An object-oriented algebraic modeling language in Python for structured optimization problems.

🎯 A comprehensive gradient-free optimization framework written in Python

Optimizers for machine learning

Python package for Bayesian Machine Learning with scikit-learn API

Hyperparameter Experiments with TensorFlow and Keras

A Python implementation of global optimization with gaussian processes.

Quadratic programming solvers in Python with a unified API

Quadratic Programming Solver

PICOS -- a python interface to conic optimization solvers

Solve global polynomial optimization problems of either commutative variables or noncommutative operators through a semidefinite programming (SDP) relaxation

Solve automatic numerical differentiation problems in one or more variables.

Surrogate Optimization Toolbox for Python

A semidefinite program solver for the conformal bootstrap.

Google's Operations Research tools:

Bayesian optimization in PyTorch

A parallel branch-and-bound engine for Python. (https://pybnb.readthedocs.io/)

A lightweight conic solver for second-order cone programming.

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

GEKKO Python for Machine Learning and Dynamic Optimization

Constraint Solving Problem resolver for Python

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Sageopt enables proof-based signomial and polynomial optimization.

COIN-OR projects with CMake build support

An automatic ML model optimization tool.

Chaospy - Toolbox for performing uncertainty quantification.

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.