Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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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)
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
fireworks swarm optimization - efficient derivative free solver.
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
Implementation code for the paper "Bayesian Optimization via Exact Penalty"
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