Alternatives and similar repositories for ttpy

Users that are interested in ttpy are comparing it to the libraries listed below

• oseledets / TT-Toolbox
  The git repository for the TT-Toolbox
  ☆206Updated 8 months ago
• Bihaqo / t3f
  Tensor Train decomposition on TensorFlow
  ☆227Updated 4 years ago
• rballester / tntorch
  Tensor Network Learning with PyTorch
  ☆301Updated last year
• PGelss / scikit_tt
  Tensor Train Toolbox
  ☆124Updated 3 weeks ago
• rballester / tensor_notes
  ☆14Updated 7 years ago
• AndreiChertkov / teneva
  A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
  ☆58Updated last year
• Bihaqo / TensorNet
  ☆141Updated 7 years ago
• JeanKossaifi / tensorly-notebooks
  Tensor methods in Python with TensorLy
  ☆442Updated 2 years ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆21Updated 3 years ago
• svaiter / pyprox
  Proximal algorithms made easy in Python
  ☆59Updated 8 years ago
• sergeyvoronin / LowRankMatrixDecompositionCodes
  RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…
  ☆94Updated 3 years ago
• ebigelow / tf-decompose
  Tensor decomposition implemented in TensorFlow
  ☆63Updated 6 years ago
• gowerrobert / StochOpt.jl
  A suite of stochastic optimization methods for solving the empirical risk minimization problem.
  ☆17Updated 6 years ago
• izmailovpavel / TTGP
  ☆25Updated 7 years ago
• AndreiChertkov / ttopt
  Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle…
  ☆37Updated 2 years ago
• maremun / quffka
  Quadrature-based features for kernel approximation
  ☆16Updated 7 years ago
• cvxgrp / proximal
  Sample implementations of proximal operators
  ☆194Updated 12 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆115Updated 12 years ago
• tqchen / ML-SGHMC
  Experiment code for Stochastic Gradient Hamiltonian Monte Carlo
  ☆110Updated 7 years ago
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 3 years ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• emstoudenmire / TNML
  Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…
  ☆163Updated 6 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆272Updated 5 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• JeanKossaifi / ifi-summer-school
  Slides and notebooks for the IfI Summer School 2018 on Machine Learning
  ☆36Updated 7 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆168Updated 2 years ago
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆117Updated 4 years ago
• RMT-TheoryAndPractice / RMT
  ☆124Updated 7 years ago
• timgaripov / TensorNet-TF
  TensorNet (TensorFlow implementation)
  ☆213Updated 8 years ago
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆163Updated last year