riemannian-manifold
There are 26 repositories under riemannian-manifold topic.
geoopt/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
kthohr/mcmc
A C++ library of Markov Chain Monte Carlo (MCMC) methods
basiralab/RegGNN
Regression Graph Neural Network (regGNN) for cognitive score prediction.
hiroyuki-kasai/RSOpt
Riemannian stochastic optimization algorithms: Version 1.0.3
adavoudi/spdnet
Implementation of Deep SPDNet in pytorch
baggepinnen/SpectralDistances.jl
Measure the distance between two spectra/signals using optimal transport and related metrics
redst4r/riemannian_latent_space
Riemannian metrics to measure distances in latent space of VAEs
sylvchev/riemannianPCA
Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation
shu-hai/SA_DNN
Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)
cristian-barbarosie/manifem
C++ library for meshes and finite elements on manifolds
hiroyuki-kasai/Subsampled-RTR
Subsampled Riemannian trust-region (RTR) algorithms
cazhang/shellGCA
Matlab implementation of paper "Principal Geodesic Analysis in the Space of Discrete Shells", SGP-2018
bghojogh/LBFGS-Vector-Transport-Free
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
wmg9721204/My-Notes
Notes prepared for seminars, compiled from books, or taken in classes are included in this repository. There might be some notes prepared by other seminar participants, which are labelled accordingly.
dnguyend/par-trans
A package providing tractable examples of parallel transport for several matrix manifolds
ManuOtel/Impedance-Encoding-UR5
Project in Advanced Robotics course project at SDU 21/22. Implementation of learning method for skills for arm robots based on GMM with Rieamannian Manifolds
mrparker909/MGLMRiem
Implementing the algorithms of Kim et al. 2014 for regressing multiple symmetric positive definite matrices against real valued covariates.
AxelGiottonini/GeomLayers
Geometrical Layers for Pytorch Neural Networks
IssamLaradji/MASAGA
Official code for MASAGA
nAuTahn/Books-for-Computer-Science
Essential Books for Computer Science
sirmurphalot/GFI_onManifolds
Code implementations of the methods discussed in Generalized Fiducial Inference on Differentiable Manifolds by A. Murph, J. Hannig, and J. Williams.
Benoit-Muller/opti-manifolds-GMM
MATH-512 Optimization on Manifolds Spring 2023 Project 1: Gaussian Mixture Models
Cirdans-Home/pth-root-stochastic
Algorithms for the approximation of an embedding for Markov chains.
Benoit-Muller/PDM
Master project: Bures-Wasserstein barycenters
Hideki105/riemannian-optimization
リーマン多様体上の最適化
sakshamjindal/optimised-orientation-tracking
Optimised Orientation Tracking using Riemann Stochastic Gradient Descent (RSGD)