A library for differentiable nonlinear optimization

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer

Coresets via Bilevel Optimization

Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928

An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)

PyTorch implementation of "STNs" and "Delta-STNs".

JuMP-based toolbox for solving bilevel optimization problems

Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"

Benchmark for bi-level optimization solvers

Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO

Code base for SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization

Proposed a mathematical model for optimizing the profits and emissions while setting dynamic prices of electricity. A bilevel & multi-objective model is proposed for maximizing profits of retailer, minimizing the emissions produced, & minimizing the total cost of customers.

Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"

Extended Mathematical Programming in Julia

Formulations for the robust Resource-Constrained Project Scheduling Problem (RCPSP) using Pyomo modelling.

Metaheuristics for solving bilevel optimization problems.

Deep Bilevel Learning. In ECCV, 2018.