Alternatives and similar repositories for Learning-to-optimize-on-SPD-manifolds

Users that are interested in Learning-to-optimize-on-SPD-manifolds are comparing it to the libraries listed below

• zhiwu-huang / SPDNet
  GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.
  ☆56Updated 4 years ago
• cvgmi / manifold-net-dmri
  ManifoldNet Paper Implementation for SPD(n)
  ☆11Updated 3 years ago
• YirongMao / SPDNet
  This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017
  ☆38Updated 7 years ago
• CUAI / Riemannian-Residual-Neural-Networks
  [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
  ☆22Updated last year
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• huangwb / LDS-toolbox
  LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling
  ☆13Updated 7 years ago
• xwcao / TGAN
  Code for the paper "Tensorizing Generative Adversarial Nets"
  ☆15Updated 7 years ago
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆70Updated 3 years ago
• kgilman / TOUCAN
  Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra
  ☆11Updated last week
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆75Updated 3 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆37Updated 5 years ago
• adavoudi / spdnet
  Implementation of Deep SPDNet in pytorch
  ☆67Updated 2 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated 2 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 6 years ago
• GAMES-UChile / Wasserstein-Fourier
  ☆15Updated 4 years ago
• andrewssobral / TDALAB
  A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis
  ☆20Updated 7 years ago
• rheasukthanker / SPDNetNAS
  Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021
  ☆14Updated 3 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆51Updated 8 years ago
• GeometricBCI / Deep-Optimal-Transport-for-Domain-Adaptation-on-SPD-Manifolds
  This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"
  ☆10Updated 2 years ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆132Updated last month
• nhatpd / iADMM
  iADMM for a low-rank representation optimization problem
  ☆13Updated 4 years ago
• zhenxingjian / SPD-SRU
  This is the code for the paper Statistical Recurrent Models on Manifold valued Data
  ☆17Updated 4 years ago
• sylvchev / mdla
  Multivariate Dictionary Learning Algorithm
  ☆24Updated last year
• steverab / tensor-gmm
  Implementation of learning a Gaussian mixture model using tensor decomposition.
  ☆15Updated 8 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆29Updated 6 years ago
• CSU-TDA / PersistenceImages
  This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".
  ☆44Updated 5 years ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 3 years ago
• fedelopez77 / gyrospd
  GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
  ☆18Updated 3 years ago
• mohammadbashiri / tensor-decomposition-in-python
  A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python
  ☆65Updated last year
• yitong91 / SyncNet
  Targeting EEG/LFP synchrony with neural nets
  ☆16Updated 6 years ago