Popular GitHub Repositories for Multiobjective Optimization

A PyTorch Library for Multi-Task Learning

Experimental design and (multi-objective) bayesian optimization.

Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).

[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

Multiobjective black-box optimization using gradient-boosted trees

? Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

[CAIS-2023] "Architecture Entropy Sampling Based Evolutionary Neural Architecture Search and Its Application in Osteoporosis"

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning