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

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

Macros and functions to work with DSGE models.

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Differentiable matrix factorizations using ImplicitDifferentiation.jl.

Implicit Differentiable Optimal Control (IDOC) with JAX

Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.

Bilevel Hyperparameter Optimization with Implicit Differentiation

An end-to-end multimodal framework incorporating explicit knowledge graphs and OOD-detection. (NeurIPS23)