A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry with applications to physics, medical imaging and computer vision.
-
Updated
Jan 26, 2018
A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry with applications to physics, medical imaging and computer vision.
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
Mirror of libmd on bitbucket: a molecular dynamics library optimized for soft matter
grg: Computer Algebra System for Differential Geometry, Gravitation and Field Theory, automatically mirrored from https://reduce-algebra.sourceforge.io/grg32/grg32.php
Riemannian Geometry workshop at vBCI Meeting 2021
ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
General relativity with automatic differentiation in Jax.
Subsampled Riemannian trust-region (RTR) algorithms
A Python utility for analyzing a given solution to the Einstein's field equations. Built on Sympy.
A Julia package for manipulating data in the Riemannian manifold of positive definite matrices
Code implementations of the methods discussed in Generalized Fiducial Inference on Differentiable Manifolds by A. Murph, J. Hannig, and J. Williams.
This repo is an implementation of the algorithm from the paper Consensus on Lie groups for the Riemannian Center of Mass. This algorithm computes the Riemannian center of mass of a set of points in a distributed manner, generalizing the Euclidean average consensus dynamics.
This repo is an implementation of the algorithm from the paper Distributed Consensus on Manifolds using the Riemannian Center of Mass. This algorithm synchronizes a set of agents over any manifold, as long as it has bounded sectional curvature. Any manifold in the Manopt library may be used.
Implementation of Deep SPDNet in pytorch
This example compares the classification performance of linear support vector machine (LinearSVC) on the Riemannian Transfer Learning method (RPA, Rodrigues et al., 2018) and the golden-standard subject-wise train-test cross-validation method using real P300 BCI data.
Accepted in IEEE Transactions on Emerging Topics in Computational Intelligence
Algorithms for computations on random manifolds made easier
Repo for the paper 'Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold'
Alignment of Pangenome Graphs with Ricci Flow
Add a description, image, and links to the riemannian-geometry topic page so that developers can more easily learn about it.
To associate your repository with the riemannian-geometry topic, visit your repo's landing page and select "manage topics."