#计算机科学#Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
翻译 - 在数值离散搜索空间中的本地，全局，基于人口和顺序技术的简单可靠优化。
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 *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, pattern search...
#自然语言处理#ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
#计算机科学#Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
#算法刷题#Deep Neural Network Optimization Platform with Gradient-based, Gradient-Free Algorithms
Markov Chain Monte Carlo binary network optimization
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
#计算机科学#EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks
Gradient free reinforcement learning for PyTorch
Blockwise Direct Search (MATLAB version)
Modular optimization library for PyTorch.
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).
A collection and visualization of single objective black-box functions for optimization benchmarking.
Implementation code for the paper "Bayesian Optimization via Exact Penalty"
Implementation of smoothing-based optimization algorithms
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).