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Topic: "gradient-free-optimization"

SimonBlanke/Gradient-Free-Optimizers

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

Language: Python - Size: 38.3 MB - Last synced at: 14 days ago - Pushed at: 24 days ago - Stars: 1,223 - Forks: 87

EMI-Group/evox

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

Language: Python - Size: 37.9 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 445 - Forks: 71

Evolutionary-Intelligence/pypop

[JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, pattern search, and random search). [https://jmlr.org/papers/v25/23-0386.html] (Its Planned Extensions: PyCoPop7, PyNoPop7, PyPop77, and PyMePop7)

Language: Python - Size: 957 MB - Last synced at: about 17 hours ago - Pushed at: about 18 hours ago - Stars: 236 - Forks: 35

Hzfinfdu/MPMP

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

Language: Python - Size: 37.6 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 39 - Forks: 6

AndreiChertkov/ttopt

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

Language: Python - Size: 629 KB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 3

anabatsh/PROTES

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

Language: Python - Size: 14.6 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 29 - Forks: 2

SimonBlanke/optimization-tutorial

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

Language: Python - Size: 153 MB - Last synced at: 16 days ago - Pushed at: 10 months ago - Stars: 20 - Forks: 3

dizcza/MCMC_BinaryNet

Markov Chain Monte Carlo binary network optimization

Language: Python - Size: 688 KB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 3

iabs-neuro/mango

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

Language: Python - Size: 349 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 8 - Forks: 0

AroMorin/DNNOP

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

Language: Python - Size: 91 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 1

thieu1995/EvoRBF

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

Language: Python - Size: 3.99 MB - Last synced at: 12 days ago - Pushed at: 5 months ago - Stars: 7 - Forks: 1

inikishev/torchzero

Modular optimization library for PyTorch.

Language: Python - Size: 1.34 MB - Last synced at: about 21 hours ago - Pushed at: about 22 hours ago - Stars: 3 - Forks: 0

blockwise-direct-search/bds

Blockwise Direct Search (MATLAB version)

Language: MATLAB - Size: 7.88 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 3 - Forks: 11

Jiangyan-Zhao/EPBO

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

Language: R - Size: 1.96 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

SimonBlanke/Surfaces

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

Language: Python - Size: 14.4 MB - Last synced at: 25 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

AndreiChertkov/tetradat

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

Language: Python - Size: 79.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

sukiboo/smoothing_based_optimization

Implementation of smoothing-based optimization algorithms

Language: Python - Size: 5 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

danielkelshaw/PySwallow

Particle Swarm Optimiser

Language: Python - Size: 130 KB - Last synced at: 5 days ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

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)

Language: Jupyter Notebook - Size: 103 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

liacov/OPTproj

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

Language: Jupyter Notebook - Size: 118 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

StatNLP/sparse_szo

Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization

Language: Python - Size: 1.68 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

ayushkarnawat/profit

Exploring evolutionary protein fitness landscapes

Language: Python - Size: 15.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

jbrea/SimultaneousPerturbationStochasticApproximation.jl

A Julia implementation of Simultaneous Perturbation Stochastic Approximation

Language: Julia - Size: 111 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

blockwise-direct-search/bds_development

Arhiva of the MATLAB version of Blockwise Direct Search

Language: MATLAB - Size: 68.4 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sukiboo/mollifier_smoothing

Numerical optimization via mollifier smoothing

Language: Python - Size: 49.8 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

marmakoide/eskit

ESKit is a portable library written in C, that provides implementations of some self-adaptive evolution strategies

Language: C - Size: 247 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

libprima/.github

PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration

Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 2

petomuro/Snake-SL 📦

Snake SL - Supervised Learning that solves the Snake game. SL was implemented by Gradient-Free-Optimizers library available for Python, neural networks was created in Keras and game was created in Pygame.

Language: Python - Size: 6.45 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

petomuro/Snake-RL 📦

Snake RL - Reinforcement Learning that solves the Snake game. RL was implemented by Gradient-Free-Optimizers library available for Python, neural networks was created in Keras and game was created in Pygame.

Language: Python - Size: 14.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

hondoRandale/SimpleFWA.jl

fireworks swarm optimization - efficient derivative free solver.

Language: CSS - Size: 160 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

zsxkib/NAT-CW2

Particle Swarm Optimisation, Genetic Algorithm/Programming for (Gradient-Free) Neural Network Optimisation

Language: Jupyter Notebook - Size: 5.05 MB - Last synced at: 6 days ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

qihongl/demo-random-search-RL

a minimal implementation of the random search algorithm for reinforcement learning.

Language: Jupyter Notebook - Size: 194 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

Related Topics
optimization 14 derivative-free-optimization 6 zeroth-order-optimization 6 evolutionary-algorithms 5 numerical-optimization 5 pytorch 5 machine-learning 4 black-box-optimization 4 python 4 tensor-train 4 neural-network 4 hyperactive 3 optimization-methods 3 random-search 3 particle-swarm-optimization 3 matlab 3 evolution-strategies 3 optimization-algorithms 3 genetic-algorithm 3 hyperparameter-optimization 2 discrete-optimization 2 constrained-optimization 2 global-optimization 2 nonlinear-optimization 2 population-based-optimization 2 keras 2 pygame 2 tensor-trains 2 multidimensional-arrays 2 reinforcement-learning 2 metaheuristics 2 neuroevolution 2 optimisation 2 gradient-descent 2 blackbox-optimization 2 pso 2 deep-learning 2 bayesian-optimization 2 smoothing-methods 2 tensor-decomposition 2 genetic-programming 1 gp 1 natural-computing 1 particle-swarm-optimisation 1 hill-climbing 1 meta-heuristic 1 nelder-mead 1 ga 1 visualization 1 tutorial 1 spsa 1 gradient-free 1 attribution-model 1 adversarial-examples 1 adversarial-attacks 1 spiking-neural-networks 1 neuroscience 1 protein-evolution 1 gaussian-smoothing 1 first-order-optimization 1 gradient-approximations 1 grafting 1 newton-raphson 1 optimizers 1 second-order-optimization 1 brax 1 evolutionary-computation 1 evolutionary-optimization 1 evolutionary-reinforcement-learinig 1 evolutionary-strategies 1 gpu-acceleration 1 gym 1 jax 1 multi-objective-optimization 1 ray 1 simulated-annealing 1 tree-of-parzen-estimator 1 optimization-algorithm 1 tensor-decomposition-algorithms 1 constrained-bayesian-optimization 1 classification 1 global-search 1 gradient-free-rbf 1 local-search 1 mealpy 1 metaheuristic-algorithms 1 nature-inspired-algorithms 1 radial-basis-function 1 radial-basis-function-network 1 regression 1 swarm-intelligence 1 whale-optimization-algorithm 1 nlp-machine-learning 1 fitness-landscape 1 bayesian-inference 1 active-learning 1 xnor-net 1 pymc3 1 mcmc 1 jags 1