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

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.

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

Extended Mathematical Programming in Julia

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

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.