Search Packages

moocore

Core Mathematical Functions for Multi-Objective Optimization

paretoset

Compute the Pareto (non-dominated) set, i.e., skyline operator/query.

syne-tune

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

flowboost

🏄‍♂️ Multi-objective optimization library for OpenFOAM, powered by Ax. Modular, optimizer-agnostic, cluster-native.

torchjd

Library for Jacobian Descent with PyTorch.

water-futures-battle

Python project for the Battle of the Water Futures, originally developed to be hosted at WDSA/CCWI 2026 conference, May 18-21, Paphos, Cyprus.

evox

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

pyaugmecon

An AUGMECON based multi-objective optimization solver for Pyomo.

openbox

Efficient and generalized blackbox optimization (BBO) system

adaptor

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

evoxbench

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

iddefix

IDDEFIX is a physics-informed evolutionary optimization framework that fits a resonator-based model (parameterized by R, f, Q) to wakefield simulation data.

foambo

Configuration-based Multi-objective Bayesian Optimization on OpenFOAM cases with Ax-platform

moead-framework

MOEA/D is a general-purpose algorithm framework. It decomposes a multi-objective optimization problem into a number of single-objective optimization sub-problems and then uses a search heuristic to optimize these sub-problems simultaneously and cooperatively.

optframe

Python bindings for OptFrame C++ Functional Core

lite-bo

Efficient and generalized blackbox optimization (BBO) system

pydiffgame

PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems

moospread

Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion

pyamosa

Python implementation of the Archived Multi-Objective Simulated Annealing (AMOSA) optimization heuristic

hydrowizard

HydroWizard: State-of-the-art hydrological modeling, optimization, and simulation using neural networks, genetic algorithms, and DAGs.

chatcortex

Framework for multi-objective synthesis and optimization of AI agent architectures under bounded evaluation budgets

libmtl

A PyTorch Library for Multi-Task Learning

meco

MECO: Multi-objective Evolutionary Compression.

moo-gbt

Library for Multi-objective optimization in Gradient Boosted Trees