A library for differentiable nonlinear optimization
-
Updated
Aug 21, 2024 - Python
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)
Add a description, image, and links to the implicit-differentiation topic page so that developers can more easily learn about it.
To associate your repository with the implicit-differentiation topic, visit your repo's landing page and select "manage topics."