There are 2 repositories under riemannian-geometry topic.
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
A Python utility for analyzing a given solution to the Einstein's field equations. Built on Sympy.
Algorithms for computations on random manifolds made easier
IEEE Transactions on Emerging Topics in Computational Intelligence
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
Riemannian Geometry workshop at vBCI Meeting 2021
Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
A library for machine learning and quantum programming based on pyRiemann and Qiskit projects
A Julia package for manipulating data in the Riemannian manifold of positive definite matrices
A Julia Package for Machine Learning on the Manifold of Positive Definite Matrices
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.
🧠🔥 Adaptive and inclusive neurotech platform for real-time multimodal data — born from the Olympic flame project.
Riemannian geometry in JAX
ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
TensorField topology over FrameBundle ∇ with Grassmann.jl finite elements
Subsampled Riemannian trust-region (RTR) algorithms
Learning-Rate-Free Stochastic Riemannian Optimization in JAX.
Comparing the performance of the DeepVO network under different loss functions
A Geometric Framework for Pangenome Graph Alignment via Ricci Flow
grg: Computer Algebra System for Differential Geometry, Gravitation and Field Theory, automatically mirrored from https://reduce-algebra.sourceforge.io/grg32/grg32.php
A package providing tractable examples of parallel transport for several matrix manifolds
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.
General relativity with automatic differentiation in Jax.
DIfferential Geometry with Python — see the package at the link below
Mirror of libmd on bitbucket: a molecular dynamics library optimized for soft matter
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.
Geometrical Layers for Pytorch Neural Networks
Repo for the paper 'Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold'
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 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.
This framework allows for the computational mind to emerge by creating stable quantum stepped prepositional harmonic residues on a unified 4-path on toroidal ring 1_R
Useful toolkit for DIfferential Geometry with Python