There are 1 repository under gradient-free-optimization topic.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
Markov Chain Monte Carlo binary network optimization
Gradient free reinforcement learning for PyTorch
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
EvoRBF: A Python Library for Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms
Gradient Free Reinforcement Learning solving Openai gym LunarLanderV2 by Evolution Strategy (Genetic Algorithm)
Particle Swarm Optimiser
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.
Exploring evolutionary protein fitness landscapes
A Julia implementation of Simultaneous Perturbation Stochastic Approximation
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
A collection and visualization of single objective black-box functions for optimization benchmarking.
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
Implementation of smoothing-based optimization algorithms
fireworks swarm optimization - efficient derivative free solver.
PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration
Gradient-free online optimization loosely based on Adaptive Moment Estimation (Adam)
ESKit is a portable library written in C, that provides implementations of some self-adaptive evolution strategies
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.
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.
a minimal implementation of the random search algorithm for reinforcement learning.
Numerical optimization via mollifier smoothing
Particle Swarm Optimisation, Genetic Algorithm/Programming for (Gradient-Free) Neural Network Optimisation