Alternatives and similar repositories for dctn

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

• xwcao / TGAN
  Code for the paper "Tensorizing Generative Adversarial Nets"
  ☆15Updated 7 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• oscarmickelin / tensor-ring-decomposition
  ☆37Updated 4 years ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆21Updated 3 years ago
• dingliu0305 / Tree-Tensor-Networks-in-Machine-Learning
  ☆31Updated 7 years ago
• R8monaW / DeepQNN
  Implementations for training deep quantum neural networks in Mathematica and MATLAB.
  ☆26Updated 6 years ago
• rajatvd / NeuralODE
  Experiments with Neural ODEs and Adversarial Attacks
  ☆44Updated 7 years ago
• rballester / tensor_notes
  ☆14Updated 7 years ago
• HuyanHuang / Tensor-completion-via-tensor-ring-decomposition
  This project aims to realize the tensor completion algorithms via tensor ring decomposition.
  ☆12Updated 4 years ago
• Tuyki / TT_RNN
  ☆102Updated 7 years ago
• timqqt / MERA_Image_Classification
  MERA tensor network for tiny object image classification
  ☆16Updated 3 years ago
• pfnet-research / einconv
  ☆47Updated 6 years ago
• tnbar / tednet
  TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
  ☆96Updated 3 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 3 years ago
• yuanlonghao / TRLRF
  Tensor ring low-rank factors (AAAI 2019)
  ☆38Updated 7 years ago
• arkmagus / tensor_rnn
  An implementation of various tensor-based decomposition for NN & RNN parameters
  ☆20Updated 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
• PotatoThanh / ADMM-NeuralNetworks
  Training Neural Networks Without Gradients: A ADMM Approach
  ☆43Updated 7 years ago
• kgilman / TOUCAN
  Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra
  ☆12Updated 3 months ago
• glivan / tensor_networks_for_probabilistic_modeling
  Probabilistic modelling with tensor networks
  ☆30Updated 6 years ago
• zfgao66 / deeplearning-mpo
  Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO
  ☆33Updated 6 years ago
• thalitadru / LDMnet-pytorch
  Implementation of LDMnet in pytorch
  ☆22Updated 7 years ago
• yiminghwang / qWGAN
  The project codes associated with quantum Wasserstein GAN
  ☆53Updated 5 years ago
• YangletLiu / Tensor_Layer_for_Deep_Neural_Network_Compression
  Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.
  ☆17Updated 5 years ago
• fmi-basel / neural-tangent-transfer
  Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.
  ☆13Updated 5 years ago
• ruihangdu / Decompose-CNN
  CP and Tucker decomposition for Convolutional Neural Networks
  ☆87Updated 7 years ago
• fabiocarrara / neural-ode-features
  Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial exam…
  ☆14Updated 5 years ago
• GabrielBianconi / pytorch-rbm
  Restricted Boltzmann Machines (RBMs) in PyTorch
  ☆167Updated 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
• jacobgil / pytorch-tensor-decompositions
  PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
  ☆288Updated 4 years ago