Popular GitHub Repositories for Multi Objective Optimization

A PyTorch Library for Multi-Task Learning

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

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

Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.

Library for Multi-objective optimization in Gradient Boosted Trees

This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is modelled as a multi-objective multi-agent cooperative game. Project is part of fulfillment criteria for ECE 730 course at the University of Alberta.

original source code of the ASE 2019 paper: Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning

[ICDE 2024] VDTuner - Automated Performance Tuning for Vector Data Management Systems (Vector Databases)

ACL 2022: Adaptor: a library to easily adapt a language model to your own task, domain, or custom objective(s).

Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”

Modular Multi-Objective Reinforcement Learning with Decision Values

GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.

多目标LGBM回归示例：这是一个简单的多目标回归示例，展示如何使用单个LGBM模型在帕累托前沿上权衡目标。

A collection of deep reinforcement learning-based & GFlowNet drug molecule generators focused on generation of molecules using Graphs/SELFIES guided by modern retrosynthesis tools to increase synthetic accessibility of de-novo designed drugs.

[ICONIP 2021] "Training-Free Multi-Objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions" by Tu Do, Ngoc Hoang Luong

generative growth algorithm inspired by plants and corals

Image Segmentation using a Multi-Objective Genetic Algorithm (NSGA-II)