Computations and statistics on manifolds with geometric structures.

Riemannian Adaptive Optimization Methods with pytorch optim

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

Implementation of Deep SPDNet in pytorch

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.

SPDlearn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization

Riemannian geometry in JAX

🧠🔥 Adaptive and inclusive neurotech platform for real-time multimodal data — born from the Olympic flame project.

ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.

TensorField topology of FrameBundle ∇ using Grassmann.jl elements

Official implementation of the NeurIPS 25 Paper: "Diffusion Generative Modeling on Lie Group Representations"

Subsampled Riemannian trust-region (RTR) algorithms

Comparing the performance of the DeepVO network under different loss functions

Learning-Rate-Free Stochastic Riemannian Optimization in JAX.

A Geometric Framework for Pangenome Graph Alignment via Ricci Flow

Python library for differential geometry, providing numerical tools for intrinsic geometric computations and PDE solving on manifolds.

A package providing tractable examples of parallel transport for several matrix manifolds

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.

grg: Computer Algebra System for Differential Geometry, Gravitation and Field Theory, automatically mirrored from https://reduce-algebra.sourceforge.io/grg32/grg32.php

Efficient computations of geodesic algorithms formulating optimization of the energy functional as a control problem.

DIfferential Geometry with Python — see the package at the link below