PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
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Updated
May 25, 2024 - Python
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.
0th order optimizers, gradient chaining, random gradient approximation
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms
A collection and visualization of single objective black-box functions for optimization benchmarking.
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
Numerical optimization via mollifier smoothing
Implementation code for the paper "Bayesian Optimization via Exact Penalty"
Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.
Implementation of smoothing-based optimization algorithms
PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
ESKit is a portable library written in C, that provides implementations of some self-adaptive evolution strategies
Gradient Free Reinforcement Learning solving Openai gym LunarLanderV2 by Evolution Strategy (Genetic Algorithm)
ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning
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.
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.
Particle Swarm Optimiser
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