Optimization Methods Python Packages

laddu-cpu

Amplitude analysis made short and sweet

unopy

With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization

ganesh-rs

A Rust optimization library

pygmo

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

cvxportfolio

Portfolio optimization and back-testing.

benchopt

A framework for reproducible, comparable benchmarks

laddu-mpi

Amplitude analysis made short and sweet

optalg

Python package with optimization algorithms, wrappers and tools.

pyaugmecon

An AUGMECON based multi-objective optimization solver for Pyomo.

qqa

Quasi-Quantum Annealing (QQA): a GPU solver for combinatorial & spin-glass optimisation — PyTorch library + live Streamlit dashboard. ICLR 2025.

decopt

In compressed decentralized optimization settings, there are benefits to having multiple gossip steps between subsequent gradient iterations, even when the cost of doing so is appropriately accounted for e.g. by means of reducing the precision of compressed information.

trustregion

Python trust-region subproblem solvers for nonlinear optimization

qmm

Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...

mutax

🎯 SciPy-like differential evolution optimization in JAX

zoofs

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

ttopt

Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.

desoptpy

DESign OPTimization in PYthon

optymus

Optimization methods for science and engineering.

rbfopt-go

Find better configuration of your Go service with black-box (derivative-free) optimization algorithms.

selective-optimizers

Official implementation of the paper "Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models"

simplestsimulatedannealing

Simplest fast implementation of simulated annlealing method

l4casadi

Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.

lippy

Lippy - solving linear programming problems.

scdn

Estimating ODE models from convoluted observations with an application to fMRI