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MVRSM algorithm for optimising mixed-variable expensive cost functions.
Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"
dd-RCMA-ES : Restricted Covariance Matrix Adaptation Evolution Strategy for High Dimensional Problems
Source code of the SHADE with Iterative Local Search, an algorithm specially designed for for real-parameter optimization with high dimensionalidad (Large-Scale Global Optimization)
Riemannian stochastic optimization algorithms: Version 1.0.3
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Experimentation procedure for Iterative Optimization Heuristics
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA
Awesome machine learning for combinatorial optimization papers.
Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer
Official implementation of SAM-Med2D
[CVPR 2024] Official implementation of "VRP-SAM: SAM with Visual Reference Prompt"
[NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation
Python-CasADi-based package containing several algorithms for solving mixed-integer nonlinear programs (MINLPs)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
This repository contains the code for Generalized Partition Crossover 2 (GPX2). An example of how to recombine two random TSP solutions is presented in the main file.
This repository contains the implementation of several efficient hill climbers for pseudo-Boolean k-bounded functions
Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
The registry of the OptunaHub packages