Search 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 (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [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

CEC benchmark data files for the surfaces library

surfaces-onnx-files

Pre-trained ONNX surrogate models for the surfaces library

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

gradient-free-objective-functions

Standardized test-functions for optimization algorithms and machine-learning

surfaces-dashboard

No description available