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]

evox

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

surfaces

Standardized test-functions for optimization algorithms and machine-learning

polystep

Training non-differentiable networks via optimal transport.

torchzero

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

adaswarm

SwarmLoss: a PyTorch loss that trains through non-convex and non-differentiable objectives by fusing particle-swarm optimisation with gradient-based optimisers like Adam.

protes

Gradient-free optimization method for 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.

soogo

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

evorbf

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

blackboxoptim

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

pyswallow

Particle Swarm Optimiser

surfaces-dashboard

Standardized test-functions for optimization algorithms and machine-learning

surfaces-cec-data

Standardized test-functions for optimization algorithms and machine-learning

gradient-free-objective-functions

Standardized test-functions for optimization algorithms and machine-learning

surfaces-onnx-files

Standardized test-functions for optimization algorithms and machine-learning