Gradient Free Optimization Python Packages

gradient-free-optimizers

Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces

pypop7

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants. In the near future, we will add Learning-Based Optimizers as its extensions. [https://jmlr.org/papers/v25/23-0386.html]

surfaces

Standardized test-functions for optimization algorithms and machine-learning

evox

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

torchzero

Modular optimization library for PyTorch (work-in-progress).

surfaces-cec-data

Standardized test-functions for optimization algorithms and machine-learning

protes

Method PROTES (PRobabilistic Optimizer with TEnsor Sampling) for derivative-free optimization of the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format

ttopt

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

surfaces-onnx-files

Standardized test-functions for optimization algorithms and machine-learning

evorbf

EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks

soogo

Surrogate-based 0-th Order Global Optimization for black-box problems

blackboxoptim

Solve black-box optimization problems using surrogate-based algorithms

surfaces-dashboard

Standardized test-functions for optimization algorithms and machine-learning

pyswallow

Particle Swarm Optimiser

gradient-free-objective-functions

Standardized test-functions for optimization algorithms and machine-learning