Alternatives and similar repositories for scikit_tt

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

• sandialabs / pyttb
  Python Tensor Toolbox
  ☆33Updated 2 months ago
• AndreiChertkov / teneva
  A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
  ☆53Updated 11 months ago
• oseledets / TT-Toolbox
  The git repository for the TT-Toolbox
  ☆201Updated 4 months ago
• oseledets / ttpy
  Python implementation of the TT-Toolbox
  ☆248Updated 3 months ago
• yhtang / FunFact
  Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.
  ☆58Updated 2 years ago
• savostyanov / ttcross
  Cross interpolation of high-dimensional arrays in tensor train format
  ☆24Updated last year
• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆65Updated 4 months ago
• AndreiChertkov / ttopt
  Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle…
  ☆36Updated last year
• LinjianMa / AutoHOOT
  Automatic High-Order Optimization for Tensors
  ☆23Updated 2 years ago
• tensor4all / xfac
  Cross factorization of tensors
  ☆37Updated last week
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆54Updated 2 years ago
• VMML / tntorch
  Tensor Network Learning with PyTorch
  ☆10Updated 6 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆60Updated 2 years ago
• buwantaiji / DominantSparseEigenAD
  Reverse-mode AD of dominant sparse eigensolver using Pytorch.
  ☆41Updated 4 years ago
• wangleiphy / tensorgrad
  Differentiable Programming Tensor Networks
  ☆143Updated 4 years ago
• lanaperisa / TensorToolbox.jl
  Julia package for tensors as multidimensional arrays, with functionalty within Tucker format, Kruskal (CP) format, Hierarchical Tucker fo…
  ☆66Updated 2 years ago
• scalable-matrix / H2Pack
  H2 Matrix Package
  ☆30Updated last year
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆154Updated last year
• joserapa98 / tensorkrowch
  Smooth integration of tensor networks in machine learning
  ☆43Updated last week
• peterwittek / ncpol2sdpa
  Solve global polynomial optimization problems of either commutative variables or noncommutative operators through a semidefinite programm…
  ☆55Updated 7 years ago
• dolgov / TT-IRT
  Inverse Rosenblatt Transform (Conditional Distribution) + MCMC sampling using Tensor Train approximation
  ☆14Updated 3 months ago
• H2Lib / H2Lib
  H2Lib public repository
  ☆58Updated 2 years ago
• Zhouquan-Wan / SVD_autodiff
  ☆16Updated 3 years ago
• GiggleLiu / marburg
  physics meets neural networks
  ☆98Updated 6 years ago
• NVIDIA / ising-gpu
  GPU-accelerated Monte Carlo simulations of 2D Ising Model
  ☆65Updated 3 months ago
• RehMoritz / vmc_pde
  Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…
  ☆10Updated 2 years ago
• bnuliujing / tn-for-unsup-ml
  ☆25Updated 4 years ago
• glivan / tensor_networks_for_probabilistic_modeling
  Probabilistic modelling with tensor networks
  ☆28Updated 5 years ago
• andrenarchy / krypy
  Krylov subspace methods package for Python
  ☆105Updated 6 months ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆65Updated 3 months ago