Alternatives and similar repositories for tensor-decomposition-in-python

Users that are interested in tensor-decomposition-in-python are comparing it to the libraries listed below

• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆133Updated 2 months ago
• CSU-TDA / PersistenceImages
  This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".
  ☆45Updated 5 years ago
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆72Updated 3 years ago
• neurostatslab / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆176Updated 2 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆68Updated 7 years ago
• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆78Updated 7 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆73Updated last year
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆72Updated 2 years ago
• MathieuCarriere / perslay
  Implementation of the PersLay layer for persistence diagrams
  ☆84Updated 2 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆38Updated last year
• IvanoLauriola / MKLpy
  A package for Multiple Kernel Learning in Python
  ☆131Updated 2 years ago
• cc-skuehn / Manifold_Learning
  Worked examples about manifold learning using sklearn and jupyter
  ☆51Updated 7 years ago
• zhigao2017 / Learning-to-optimize-on-SPD-manifolds
  code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"
  ☆13Updated 5 years ago
• neel-dey / robustNTF
  PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization…
  ☆20Updated 2 years ago
• drewwilimitis / Manifold-Learning
  Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…
  ☆251Updated 5 years ago
• c-hofer / jmlr_2019
  Code for JMLR paper ``Learning Representations of Persistence Barcodes``
  ☆24Updated 5 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆33Updated 5 months ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• steverab / tensor-gmm
  Implementation of learning a Gaussian mixture model using tensor decomposition.
  ☆15Updated 8 years ago
• tomMoral / adopty
  ☆19Updated 6 years ago
• scikit-tda / persim
  Distances and representations of persistence diagrams
  ☆133Updated last week
• JeanKossaifi / FISTA
  Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.
  ☆94Updated 7 years ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆153Updated 4 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 4 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆76Updated 3 years ago
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆117Updated 7 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆35Updated 6 years ago
• wiskott-lab / sklearn-sfa
  This project provides Slow Feature Analysis as a scikit-learn-style package.
  ☆41Updated 2 years ago
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated 3 years ago
• sylvchev / mdla
  Multivariate Dictionary Learning Algorithm
  ☆26Updated 2 years ago