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
  ☆255Updated 8 months ago
• Bihaqo / t3f
  Tensor Train decomposition on TensorFlow
  ☆228Updated 4 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆81Updated last year
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆77Updated last year
• KhrulkovV / tt-pytorch
  ☆59Updated 5 years ago
• rajatvd / NTK
  Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
  ☆173Updated 6 years ago
• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆81Updated 2 weeks ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆190Updated last year
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆163Updated last year
• pfnet-research / einconv
  ☆47Updated 6 years ago
• mfinzi / LieConv
  ☆273Updated 2 years ago
• AndreiChertkov / teneva
  A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
  ☆58Updated 2 weeks ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆106Updated 5 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆148Updated 2 years ago
• rballester / tensor_notes
  ☆14Updated 7 years ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆130Updated 5 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆216Updated last week
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆281Updated 2 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
• hongyehu / RG-Flow
  This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". …
  ☆89Updated 3 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆623Updated 2 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆231Updated 5 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆92Updated last week
• tnbar / awesome-tensorial-neural-networks
  A thoroughly investigated survey for tensorial neural networks.
  ☆140Updated 10 months ago
• fmeirinhos / pytorch-hessianfree
  PyTorch implementation of Hessian Free optimisation
  ☆43Updated 5 years ago
• PGelss / scikit_tt
  Tensor Train Toolbox
  ☆126Updated last month
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆113Updated 6 years ago
• google-deepmind / mc_gradients
  ☆172Updated last year
• thegregyang / GP4A
  Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…
  ☆248Updated 5 years ago