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riemannian-manifold

Here are 24 public repositories matching this topic...

geoopt

geoopt / geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

optimization pytorch riemannian-geometry riemannian-manifold riemannian-optimization

Updated Apr 28, 2024
Python

kthohr / mcmc

A C++ library of Markov Chain Monte Carlo (MCMC) methods

cpp automatic-differentiation eigen cpp11 armadillo differential-evolution mcmc hmc hamiltonian-monte-carlo markov-chain-monte-carlo de metropolis-hastings eigen3 mala langevin-diffusion riemannian-manifold

Updated Feb 8, 2024
C++

basiralab / RegGNN

Regression Graph Neural Network (regGNN) for cognitive score prediction.

regression brain-connectivity symmetric-positive-definite network-neuroscience riemannian-manifold graph-neural-networks gnn sample-selection cognitive-score matrix-parallel-transport geodesic-transport

Updated Apr 19, 2023
Python

hiroyuki-kasai / RSOpt

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

adavoudi / spdnet

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

baggepinnen / SpectralDistances.jl

Measure the distance between two spectra/signals using optimal transport and related metrics

spectrum metrics histogram linear-systems dynamic-time-warping spectral-analysis optimal-transport barycentric-coordinates earth-movers-distance spectral-embedding riemannian-manifold wasserstein-distance dynamic-frequency-warping barycenter

Updated Jan 3, 2023
Julia

redst4r / riemannian_latent_space

Riemannian metrics to measure distances in latent space of VAEs

vae riemannian-manifold

Updated Jan 7, 2019
Python

shu-hai / SA_DNN

Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)

deep-neural-networks deep-learning sensitivity-analysis robustness riemannian-manifold

Updated Feb 12, 2023
Python

sylvchev / riemannianPCA

Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation

eeg pca covariance riemannian-manifold pymanopt

Updated Apr 18, 2023
Python

cristian-barbarosie / manifem

C++ library for meshes and finite elements on manifolds

library cplusplus mesh meshing mesh-generation partial-differential-equations finite-elements riemann manifold surface surface-modeling tesselation finite-element-method riemannian-manifold

Updated Jul 14, 2022
C++

hiroyuki-kasai / Subsampled-RTR

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

cazhang / shellGCA

Matlab implementation of paper "Principal Geodesic Analysis in the Space of Discrete Shells", SGP-2018

riemannian-manifold non-rigid-shapes principal-geodesic-analysis shell-space

Updated May 3, 2021
MATLAB

bghojogh / LBFGS-Vector-Transport-Free

The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds

bfgs lbfgs manifold-optimization riemannian-manifold riemannian-optimization spd-manifold

Updated Dec 10, 2021
MATLAB

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.

statistical-learning stochastic-differential-equations stochastic-processes topological-data-analysis machine-learning-theory stochastic-calculus riemannian-manifold probability-theory-measure-based theoretical-statistics applied-algebraic-topology

Updated Mar 25, 2022
Jupyter Notebook

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

learning-from-demonstration impedance-control riemannian-manifold ur-robot gmm-gmr

Updated May 12, 2022
Jupyter Notebook

IssamLaradji / MASAGA

Official code for MASAGA

optimization riemannian-manifold

Updated Feb 21, 2019
Python

mrparker909 / MGLMRiem

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

Hideki105 / riemannian-optimization

リーマン多様体上の最適化

riemannian-manifold riemannian-optimization

Updated Oct 11, 2022
Python

sakshamjindal / optimised-orientation-tracking

Optimised Orientation Tracking using Riemann Stochastic Gradient Descent (RSGD)

robotics orientation-tracking optimisation riemannian-manifold projected-gradient-desent

Updated Feb 28, 2023
Jupyter Notebook

GFI_onManifolds

sirmurphalot / GFI_onManifolds

Code implementations of the methods discussed in Generalized Fiducial Inference on Differentiable Manifolds by A. Murph, J. Hannig, and J. Williams.

statistical-learning riemannian-geometry riemannian-manifold mcmc-methods fiducial-inference

Updated Jul 7, 2023
MATLAB

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