gradient-free-optimization
There are 38 repositories under gradient-free-optimization topic.
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
EMI-Group/evox
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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***)]
Hzfinfdu/MPMP
ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning
AndreiChertkov/ttopt
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
anabatsh/PROTES
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
SimonBlanke/optimization-tutorial
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
AroMorin/DNNOP
Deep Neural Network Optimization Platform with Gradient-based, Gradient-Free Algorithms
dizcza/MCMC_BinaryNet
Markov Chain Monte Carlo binary network optimization
iabs-neuro/mango
š„ MANGO: Maximization of neural Activation via Non-Gradient Optimization
thieu1995/EvoRBF
EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks
Catastropha/pydemic
Gradient free reinforcement learning for PyTorch
AndreiChertkov/tetradat
Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.
danielkelshaw/PySwallow
Particle Swarm Optimiser
inikishev/torchzero
Modular optimization library for PyTorch.
Jiangyan-Zhao/EPBO
Implementation code for the paper "Bayesian Optimization via Exact Penalty"
liacov/OPTproj
Zeroth order Frank Wolfe algorithm. Project for the Optimization for Data Science exam.
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)
QiqiDuan257/evopt-lso
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
QiqiDuan257/pop-lsbbo
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
StatNLP/sparse_szo
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
sukiboo/smoothing_based_optimization
Implementation of smoothing-based optimization algorithms
ayushkarnawat/profit
Exploring evolutionary protein fitness landscapes
blockwise-direct-search/bds_matlab
Blockwise Direct Search (MATLAB version)
jbrea/SimultaneousPerturbationStochasticApproximation.jl
A Julia implementation of Simultaneous Perturbation Stochastic Approximation
SimonBlanke/Surfaces
A collection and visualization of single objective black-box functions for optimization benchmarking.
blockwise-direct-search/bds_development
Arhiva of the MATLAB version of Blockwise Direct Search
blockwise-direct-search/bds_octave
Blockwise Direct Search (Octave version)
blockwise-direct-search/bds_python
Blockwise Direct Search (Python version)
hondoRandale/SimpleFWA.jl
fireworks swarm optimization - efficient derivative free solver.
libprima/.github
PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration
trtsl/MadamOpt
Gradient-free online optimization loosely based on Adaptive Moment Estimation (Adam)
marmakoide/eskit
ESKit is a portable library written in C, that provides implementations of some self-adaptive evolution strategies
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.
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.
sukiboo/mollifier_smoothing
Numerical optimization via mollifier smoothing