Alternatives and similar repositories for Tensor_Layer_for_Deep_Neural_Network_Compression

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

• philip-bl / tensorizing_neural_networks-novikov_2015
  MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)
  ☆13Updated 5 years ago
• tnbar / awesome-tensorial-neural-networks
  A thoroughly investigated survey for tensorial neural networks.
  ☆137Updated 8 months ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆21Updated 3 years ago
• tnbar / tednet
  TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
  ☆97Updated 3 years ago
• rballester / tensor_notes
  ☆14Updated 7 years ago
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆59Updated 3 years ago
• philip-bl / dctn
  Deep convolutional tensor network
  ☆11Updated 5 years ago
• JunLi-Galios / Optimization-on-Stiefel-Manifold-via-Cayley-Transform
  Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
  ☆42Updated 6 years ago
• n-gao / pytorch-kfac
  Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
  ☆26Updated last year
• UCMerced-ML / LC-model-compression
  Model compression by constrained optimization, using the Learning-Compression (LC) algorithm
  ☆72Updated 3 years ago
• KhrulkovV / tt-pytorch
  ☆60Updated 5 years ago
• Bihaqo / t3f
  Tensor Train decomposition on TensorFlow
  ☆226Updated 4 years ago
• onucharles / tensorized-rnn
  A fully tensorized recurrent neural network using tensor-train decomposition
  ☆26Updated 2 years ago
• lorenzrichter / PDE-backward-solver
  ☆22Updated 11 months ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆117Updated 8 months ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆90Updated this week
• rballester / tntorch
  Tensor Network Learning with PyTorch
  ☆300Updated last year
• TimRoith / BregmanLearning
  Optimizing neural networks via an inverse scale space flow.
  ☆16Updated last year
• colehawkins / bayesian-tensor-rank-determination
  ☆13Updated 3 years ago
• vantienpham / Awesome-Tensor-Decomposition
  😎 A curated list of tensor decomposition resources for model compression.
  ☆82Updated 3 weeks ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆104Updated 5 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• gaoliyao / Replica_Exchange_Stochastic_Gradient_MCMC
  Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.
  ☆26Updated 4 years ago
• jlaydevant / Ising-Machine-EqProp
  ☆15Updated 2 years ago
• artur-deluca / landscapeviz
  Visualizing the the loss landscape of Fully-Connected Neural Networks
  ☆46Updated 2 years ago
• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆73Updated 8 months ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 6 years ago
• zoq / Awesome-Optimizer
  Collect optimizer related papers, data, repositories
  ☆97Updated 10 months ago
• PotatoThanh / ADMM-NeuralNetworks
  Training Neural Networks Without Gradients: A ADMM Approach
  ☆43Updated 7 years ago
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 4 years ago