Riemannian Adaptive Optimization Methods with pytorch optim
-
Updated
Apr 28, 2024 - Python
#
riemannian-optimization
Here are 13 public repositories matching this topic...
An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
global-optimization
slam
graph-slam
semidefinite-programming
pose-graph-optimization
se-sync
pose-synchronization
riemannian-optimization
pose-graph-slam
certifiable-robustness
certifiable-estimation
certifiable-perception
-
Updated
Aug 15, 2024 - Jupyter Notebook
A set of lightweight header-only template functions implementing commonly-used optimization methods on Riemannian manifolds and convex spaces.
-
Updated
Nov 14, 2023 - C++
Riemannian stochastic optimization algorithms: Version 1.0.3
machine-learning
big-data
optimization
machine-learning-algorithms
constrained-optimization
sgd
manifold
nonlinear-optimization
optimization-algorithms
large-scale-learning
online-learning
stochastic-optimizers
variance-reduction
stochastic-gradient-descent
nonlinear-optimization-algorithms
stochastic-optimization
riemannian-manifold
riemannian-optimization
non-convex-optimization
-
Updated
Jan 5, 2023 - MATLAB
Implementation of Deep SPDNet in pytorch
deep-learning
pytorch
dimensionality-reduction
symmetric-positive-definite
riemannian-geometry
riemannian-manifold
riemannian-optimization
-
Updated
Sep 23, 2023 - Python
Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"
riemannian-optimization
few-shot-classifcation
meta-learning-algorithm
cross-domain-few-shot-learning
few-shot-regression
preconditioned-gradient-descent
-
Updated
May 23, 2023 - Python
Subsampled Riemannian trust-region (RTR) algorithms
big-data
optimization
optimization-algorithms
gradient-descent-algorithm
stochastic-optimizers
stochastic-gradient-descent
sampling-methods
subsample
large-scale-optimizations
riemannian-geometry
riemannian-manifold
trust-region
sub-sampling
second-order-optimization
riemannian-optimization
-
Updated
Jan 5, 2023 - MATLAB
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
-
Updated
Dec 10, 2021 - MATLAB
Code for my master thesis at the Scientific Computing chair @ TUM under the supervision of Prof. Christian Mendl
-
Updated
Aug 4, 2024 - Jupyter Notebook
minimum bipartite matching via Riemann optimization
-
Updated
Dec 21, 2023 - Python
Implementing the algorithms of Kim et al. 2014 for regressing multiple symmetric positive definite matrices against real valued covariates.
r
in-progress
glm
manifold-optimization
regression-algorithms
riemannian-manifold
riemannian-optimization
-
Updated
Mar 18, 2020 - R
Master project: Bures-Wasserstein barycenters
-
Updated
Jul 8, 2024 - MATLAB
Improve this page
Add a description, image, and links to the riemannian-optimization topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the riemannian-optimization topic, visit your repo's landing page and select "manage topics."