Skip to content

#

gradient-free-optimization

Here are 40 public repositories matching this topic...

Language: All

Filter by language

All 40 Python 25 MATLAB 5 Jupyter Notebook 4 Julia 2 C 1 CSS 1 R 1

Sort: Most stars

Sort options

Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

Gradient-Free-Optimizers

SimonBlanke / Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

machine-learning optimization constrained-optimization hyperparameter-optimization meta-heuristic simulated-annealing hill-climbing bayesian-optimization nelder-mead random-search particle-swarm-optimization evolution-strategies blackbox-optimization gradient-free-optimization tree-of-parzen-estimator hyperactive

Updated Aug 17, 2025
Python

EMI-Group / evox

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

neuroevolution pytorch gym gpu-acceleration evolutionary-algorithms multi-objective-optimization ray black-box-optimization evolutionary-computation evolutionary-strategies metaheuristics jax evolutionary-optimization derivative-free-optimization gradient-free-optimization population-based-optimization brax evolutionary-reinforcement-learinig

Updated Aug 22, 2025
Python

Evolutionary-Intelligence / pypop

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, etc.). [https://jmlr.org/papers/v25/23-0386.html]

evolutionary-algorithms global-optimization differential-evolution genetic-algorithms black-box-optimization numerical-optimization nonlinear-optimization random-search optimization-algorithms particle-swarm-optimization evolution-strategies continuous-optimization large-scale-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization direct-search population-based-optimization estimation-of-distribution-algorithms consensus-based-optimization

Updated Sep 1, 2025
Python

Hzfinfdu / MPMP

ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning

natural-language-processing modular deep-learning multitask-learning few-shot-learning gradient-free-optimization prompt-learning black-box-tuning

Updated Oct 24, 2022
Python

AndreiChertkov / ttopt

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

optimization optimization-methods multidimensional-arrays tensor-decomposition discrete-optimization tensor-train gradient-free-optimization optimization-algorithm tensor-decomposition-algorithms tensor-trains

Updated Jul 27, 2023
Python

anabatsh / PROTES

Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.

optimization multidimensional-arrays tensor-decomposition discrete-optimization tensor-train gradient-free-optimization

Updated Apr 29, 2025
Python

PdIPS / CBXpy

A python package for consensus-based optimization

constrained-optimization gradient-free-optimization zero-order-methods

Updated Jul 4, 2025
Python

SimonBlanke / optimization-tutorial

Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.

visualization machine-learning tutorial optimization hyperparameter-optimization gradient-free-optimization hyperactive

Updated Aug 11, 2025
Python

AroMorin / DNNOP

Deep Neural Network Optimization Platform with Gradient-based, Gradient-Free Algorithms

deep-neural-networks reinforcement-learning computer-vision deep-learning algorithms robotics openai-gym neuroevolution artificial-intelligence artificial-neural-networks gradient-descent optimization-algorithms nao-robot gradient-free-optimization gradient-based

Updated Jan 13, 2020
Python

dizcza / MCMC_BinaryNet

Markov Chain Monte Carlo binary network optimization

pytorch mcmc pymc3 jags xnor-net binary-neural-networks gradient-free-optimization

Updated Dec 16, 2021
Python

iabs-neuro / mango

🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization

neuroscience spiking-neural-networks tensor-train gradient-free-optimization neural-representations activation-maximization

Updated Nov 7, 2024
Python

thieu1995 / EvoRBF

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

machine-learning neural-network genetic-algorithm regression classification evolutionary-algorithms local-search particle-swarm-optimization radial-basis-function swarm-intelligence global-search nature-inspired-algorithms metaheuristic-algorithms gradient-free-optimization whale-optimization-algorithm radial-basis-function-network mealpy gradient-free-rbf

Updated Jun 5, 2025
Python

inikishev / torchzero

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

optimization pytorch gradient-descent numerical-optimization optimization-algorithms second-order-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization optimizers grafting gradient-approximations first-order-optimization

Updated Aug 27, 2025
Python

Catastropha / pydemic

Gradient free reinforcement learning for PyTorch

reinforcement-learning neural-networks gradient-free-optimization

Updated Sep 19, 2019
Python

blockwise-direct-search / bds

Blockwise Direct Search (MATLAB version)

optimization matlab optimization-methods numerical-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization

Updated Aug 3, 2025
MATLAB

NREL / soogo

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

ai black-box-optimization optimization-algorithms expensive-to-evaluate-functions surrogate-based-optimization gradient-free-optimization

Updated Aug 6, 2025
Python

Jiangyan-Zhao / EPBO

Implementation code for the paper "Bayesian Optimization via Exact Penalty"

global-optimization bayesian-optimization gradient-free-optimization constrained-bayesian-optimization

Updated Feb 29, 2024
R

SimonBlanke / Surfaces

A collection and visualization of single objective black-box functions for optimization benchmarking.

python optimization black-box-optimization test-functions objective-functions gradient-free-optimization hyperactive

Updated Aug 15, 2025
Python

AndreiChertkov / tetradat

Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.

neural-network black-box-optimization adversarial-examples tensor-train adversarial-attacks gradient-free-optimization attribution-model tensor-trains

Updated Aug 20, 2025
Python

sukiboo / smoothing_based_optimization

Implementation of smoothing-based optimization algorithms

optimization gaussian-smoothing gradient-free-optimization smoothing-methods

Updated Nov 3, 2023
Python

Improve this page

Add a description, image, and links to the gradient-free-optimization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the gradient-free-optimization topic, visit your repo's landing page and select "manage topics."