A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
PyTorch library for solving imaging inverse problems using deep learning
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Implementation of deep implicit attention in PyTorch
Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.
Official implementation for the ECCV 2022 paper "Streaming Multiscale Deep Equilibrium Models"
Official implementation of DEQ-MPI: A deep equilibrium reconstruction model for magnetic particle imaging
Physics-Informed Deep Equilibrium Models. With an application to the 4 tanks system.
Implementing Deep Equilibrium model on the Mnist dataset using Jax and Flax
My personal website
Add a description, image, and links to the deep-equilibrium-models topic page so that developers can more easily learn about it.
To associate your repository with the deep-equilibrium-models topic, visit your repo's landing page and select "manage topics."