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gradient-free-optimization

Here are 38 public repositories matching this topic...

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 Dec 22, 2024
Python

EMI-Group / evox

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

neuroevolution 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 Dec 6, 2024
Python

Evolutionary-Intelligence / pypop

[***JMLR-2024***] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pattern search, and random search, etc.). [Citation: https://jmlr.org/papers/v25/23-0386.html (***CCF-A***)]

Updated Dec 21, 2024
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 Dec 12, 2024
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 Jun 28, 2024
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 Dec 4, 2024
Python

Catastropha / pydemic

Gradient free reinforcement learning for PyTorch

reinforcement-learning neural-networks gradient-free-optimization

Updated Sep 19, 2019
Python

QiqiDuan257 / evopt-lso

A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).

matlab evolutionary-algorithms black-box-optimization evolutionary-computation random-search matlab-library evolution-strategies benchmark-functions cma-es evolutionary-computing test-functions large-scale-optimization derivative-free-optimization gradient-free-optimization zeorth-order-optimization direct-search

Updated Aug 17, 2019
MATLAB

MohammadAsadolahi / Gradient-Free-Reinforcement-Learning-solving-Openai-gym-LunarLanderV2-by-Evolution-Strategy-python

Gradient Free Reinforcement Learning solving Openai gym LunarLanderV2 by Evolution Strategy (Genetic Algorithm)

genetic-algorithm pytorch dqn evolutionary-algorithms openai-gym-environment reinfrocement-learning lunarlander-v2 gradient-free-optimization

Updated Dec 12, 2022
Jupyter Notebook

QiqiDuan257 / pop-lsbbo

A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).

model-based-optimization black-box-optimization matlab-library large-scale-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization direct-search population-based-optimization simulation-based-optimization optimization-without-derivatives

Updated Sep 22, 2019
MATLAB

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

sukiboo / smoothing_based_optimization

Implementation of smoothing-based optimization algorithms

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

Updated Nov 3, 2023
Python

danielkelshaw / PySwallow

Particle Swarm Optimiser

machine-learning pso optimisation metaheuristics gradient-free-optimization particle-swarm-optimiser

Updated Jun 22, 2022
Python

liacov / OPTproj

Zeroth order Frank Wolfe algorithm. Project for the Optimization for Data Science exam.

frank-wolfe gradient-free-optimization

Updated Apr 8, 2021
Jupyter Notebook

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 12, 2024
Python

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