Popular GitHub Repositories for Pareto Optimality

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

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

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

On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

? MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.

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

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。

Implementation of the paper "On the Asymptotic Mean Square Error Optimality of Diffusion Models."

Advanced choice modeling with multidimensional utility representations.

Collective Mind repository with unified automations to automatically co-design, optimize and deploy intelligent and Pareto-efficient systems across continuously changing software and hardware stacks.

Clustering-Based Customer Segmentation with CI/EC Algorithms

Presentation of the paper "Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks" by F. M. Rohrhofer, S. Posch, C. Gößnitzer and B. C. Geiger for the Simulation Intelligence course held at University of Trieste (UniTS).

Second version of Pareto-Optimal Progressive Neural Architecture Search (POPNAS) algorithm, published at the IEEE IJCNN 2022.

PyTorch implementation of our work: "Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning"