#计算机科学#A library for differentiable nonlinear optimization
#计算机科学#Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
#计算机科学#TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
#计算机科学#Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)
Official code repository for ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization (SIGGRAPH TOG 2023)
Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.
Differentiable curve and surface similarity measures.
Preliminary code for the paper "Learning Deterministic Surrogates for Robust Convex QCQPs".
#计算机科学#Tutorial on Deep Declarative Networks
Collection of differentiable methods for robotics applications implemented with Pytorch.