Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: riemannian-manifold

geoopt/geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

Language: Python - Size: 1.5 MB - Last synced: 3 days ago - Pushed: 28 days ago - Stars: 809 - Forks: 78

Benoit-Muller/PDM

Master project: Bures-Wasserstein barycenters

Language: MATLAB - Size: 6.25 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 0 - Forks: 0

AxelGiottonini/GeomLayers

Geometrical Layers for Pytorch Neural Networks

Language: Python - Size: 10.7 KB - Last synced: 19 days ago - Pushed: 20 days ago - Stars: 0 - Forks: 0

baggepinnen/SpectralDistances.jl

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

Language: Julia - Size: 229 MB - Last synced: 16 days ago - Pushed: over 1 year ago - Stars: 45 - Forks: 4

kthohr/mcmc

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

Language: C++ - Size: 217 KB - Last synced: 2 months ago - Pushed: 4 months ago - Stars: 148 - Forks: 47

redst4r/riemannian_latent_space

Riemannian metrics to measure distances in latent space of VAEs

Language: Python - Size: 5.86 KB - Last synced: about 1 month ago - Pushed: over 5 years ago - Stars: 12 - Forks: 3

adavoudi/spdnet

Implementation of Deep SPDNet in pytorch

Language: Python - Size: 51.8 KB - Last synced: 7 months ago - Pushed: 8 months ago - Stars: 51 - Forks: 11

shu-hai/SA_DNN

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

Language: Python - Size: 14.8 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 10 - Forks: 5

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.

Language: Jupyter Notebook - Size: 280 MB - Last synced: 9 months ago - Pushed: about 2 years ago - Stars: 2 - Forks: 2

sylvchev/riemannianPCA

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

Language: Python - Size: 12.7 KB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 7 - Forks: 0

Hideki105/riemannian-optimization

リーマン多様体上の最適化

Language: Python - Size: 24.1 MB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Cirdans-Home/pth-root-stochastic

Algorithms for the approximation of an embedding for Markov chains.

Language: MATLAB - Size: 88.9 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

sirmurphalot/GFI_onManifolds

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

Language: MATLAB - Size: 227 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

Benoit-Muller/opti-manifolds-GMM

MATH-512 Optimization on Manifolds Spring 2023 Project 1: Gaussian Mixture Models

Language: MATLAB - Size: 1.23 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

bghojogh/LBFGS-Vector-Transport-Free

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

Language: MATLAB - Size: 13.3 MB - Last synced: 11 months ago - Pushed: over 2 years ago - Stars: 3 - Forks: 1

sakshamjindal/optimised-orientation-tracking

Optimised Orientation Tracking using Riemann Stochastic Gradient Descent (RSGD)

Language: Jupyter Notebook - Size: 35 MB - Last synced: 4 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

ManuOtel/Impedance-Encoding-UR5 Fork of PabloDavidAR/encode-task-impedance-from-demonstration

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

Language: Jupyter Notebook - Size: 41.8 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

cristian-barbarosie/manifem

C++ library for meshes and finite elements on manifolds

Language: C++ - Size: 1.36 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 4 - Forks: 1

hiroyuki-kasai/Subsampled-RTR

Subsampled Riemannian trust-region (RTR) algorithms

Language: MATLAB - Size: 4.95 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 5 - Forks: 5

basiralab/RegGNN

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

Language: Python - Size: 4.06 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 33 - Forks: 12

mrparker909/MGLMRiem

Implementing the algorithms of Kim et al. 2014 for regressing multiple symmetric positive definite matrices against real valued covariates.

Language: R - Size: 177 KB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 1 - Forks: 1

hiroyuki-kasai/RSOpt

Riemannian stochastic optimization algorithms: Version 1.0.3

Language: MATLAB - Size: 7.62 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 51 - Forks: 19

cazhang/shellGCA

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

Language: MATLAB - Size: 81.4 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 4 - Forks: 1

IssamLaradji/MASAGA

Official code for MASAGA

Language: Python - Size: 5.65 MB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 2

Related Keywords
riemannian-manifold 24 riemannian-optimization 8 optimization 5 riemannian-geometry 5 pytorch 3 optimization-algorithms 3 deep-learning 2 stochastic-optimizers 2 stochastic-gradient-descent 2 symmetric-positive-definite 2 big-data 2 statistical-learning 2 manifold 2 barycenter 2 manifold-optimization 2 orientation-tracking 1 projected-gradient-desent 1 second-order-optimization 1 sampling-methods 1 large-scale-optimizations 1 gradient-descent-algorithm 1 robotics 1 tesselation 1 gmm-gmr 1 surface-modeling 1 surface 1 riemann 1 partial-differential-equations 1 meshing 1 mesh-generation 1 mesh 1 impedance-control 1 library 1 finite-elements 1 finite-element-method 1 cplusplus 1 learning-from-demonstration 1 ur-robot 1 shell-space 1 principal-geodesic-analysis 1 non-rigid-shapes 1 variance-reduction 1 stochastic-optimization 1 sgd 1 online-learning 1 nonlinear-optimization-algorithms 1 nonlinear-optimization 1 non-convex-optimization 1 machine-learning-algorithms 1 machine-learning 1 large-scale-learning 1 constrained-optimization 1 regression-algorithms 1 r 1 in-progress 1 glm 1 sample-selection 1 regression 1 network-neuroscience 1 matrix-parallel-transport 1 graph-neural-networks 1 gnn 1 geodesic-transport 1 cognitive-score 1 brain-connectivity 1 trust-region 1 subsample 1 sub-sampling 1 optimisation 1 markov-chain-monte-carlo 1 mala 1 langevin-diffusion 1 hmc 1 hamiltonian-monte-carlo 1 eigen3 1 eigen 1 differential-evolution 1 de 1 cpp11 1 cpp 1 automatic-differentiation 1 armadillo 1 wasserstein-distance 1 spectrum 1 spectral-embedding 1 spectral-analysis 1 optimal-transport 1 metrics 1 linear-systems 1 histogram 1 earth-movers-distance 1 dynamic-time-warping 1 dynamic-frequency-warping 1 barycentric-coordinates 1 spdnet 1 semi-definite-programming 1 bures-wasserstein 1 spd-manifold 1 lbfgs 1 bfgs 1