Alternatives and similar repositories for tntorch:

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

• oseledets / ttpy
  Python implementation of the TT-Toolbox
  ☆245Updated last month
• Bihaqo / t3f
  Tensor Train decomposition on TensorFlow
  ☆223Updated 4 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆78Updated 10 months ago
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆148Updated last year
• KhrulkovV / tt-pytorch
  ☆60Updated 4 years ago
• AndreiChertkov / teneva
  A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
  ☆52Updated 9 months ago
• PGelss / scikit_tt
  Tensor Train Toolbox
  ☆110Updated last month
• tnbar / tednet
  TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
  ☆95Updated 3 years ago
• rballester / tensor_notes
  ☆15Updated 6 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆186Updated 8 months ago
• mfinzi / LieConv
  ☆269Updated last year
• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆60Updated 2 months ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆672Updated 3 years ago
• oseledets / TT-Toolbox
  The git repository for the TT-Toolbox
  ☆198Updated last month
• tnbar / awesome-tensorial-neural-networks
  A thoroughly investigated survey for tensorial neural networks.
  ☆128Updated 2 months ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆244Updated 3 years ago
• rajatvd / NTK
  Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
  ☆171Updated 5 years ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆22Updated 2 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆74Updated 8 months ago
• emstoudenmire / TNML
  Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…
  ☆156Updated 6 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆577Updated 3 months ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆169Updated 3 years ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆211Updated this week
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆128Updated 4 years ago
• AndreiChertkov / ttopt
  Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle…
  ☆35Updated last year
• pfnet-research / einconv
  ☆47Updated 5 years ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆185Updated 4 months ago
• dgasmith / opt_einsum
  ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
  ☆896Updated 3 weeks ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆600Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆107Updated last month