Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
-
Updated
May 20, 2024 - Python
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning
Markov Chain Monte Carlo binary network optimization
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration
EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms
Particle Swarm Optimisation, Genetic Algorithm/Programming for (Gradient-Free) Neural Network Optimisation
Deep Neural Network Optimization Platform with Gradient-based, Gradient-Free Algorithms
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
Numerical optimization via mollifier smoothing
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.
Gradient Free Reinforcement Learning solving Openai gym LunarLanderV2 by Evolution Strategy (Genetic Algorithm)
fireworks swarm optimization - efficient derivative free solver.
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
Implementation code for the paper "Bayesian Optimization via Exact Penalty"
Add a description, image, and links to the gradient-free-optimization topic page so that developers can more easily learn about it.
To associate your repository with the gradient-free-optimization topic, visit your repo's landing page and select "manage topics."