#计算机科学#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.
[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from evolutionary computation, swarm intelligence, statistics, operat...
#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.
A python package for consensus-based optimization
#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
Modular optimization library for PyTorch (work-in-progress).
Gradient free reinforcement learning for PyTorch
Surrogate-based 0-th Order Global Optimization for black-box problems.
Blockwise Direct Search (MATLAB version)
Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.
Implementation of smoothing-based optimization algorithms
Implementation code for the paper "Bayesian Optimization via Exact Penalty"
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).