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 6 years ago
• tnbar / awesome-tensorial-neural-networks
  A thoroughly investigated survey for tensorial neural networks.
  ☆141Updated 11 months ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆21Updated 3 years ago
• UCMerced-ML / LC-model-compression
  Model compression by constrained optimization, using the Learning-Compression (LC) algorithm
  ☆72Updated 4 years ago
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆59Updated 3 years ago
• tnbar / tednet
  TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
  ☆96Updated 3 years ago
• colehawkins / bayesian-tensor-rank-determination
  ☆13Updated 4 years ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 6 years ago
• rballester / tensor_notes
  ☆14Updated 7 years ago
• philip-bl / dctn
  Deep convolutional tensor network
  ☆11Updated 5 years ago
• rballester / tntorch
  Tensor Network Learning with PyTorch
  ☆304Updated last year
• jxbz / signSGD
  Code for the signSGD paper
  ☆92Updated 4 years ago
• KhrulkovV / tt-pytorch
  ☆59Updated 5 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆93Updated 2 weeks ago
• fmeirinhos / pytorch-hessianfree
  PyTorch implementation of Hessian Free optimisation
  ☆43Updated 6 years ago
• JunLi-Galios / Optimization-on-Stiefel-Manifold-via-Cayley-Transform
  Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
  ☆44Updated 6 years ago
• n-gao / pytorch-kfac
  Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
  ☆30Updated last year
• spcl / sparsity-in-deep-learning
  Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests
  ☆46Updated 3 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆74Updated 5 years ago
• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆84Updated this week
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆106Updated 5 years ago
• vantienpham / Awesome-Tensor-Decomposition
  😎 A curated list of tensor decomposition resources for model compression.
  ☆90Updated 2 weeks ago
• Bihaqo / t3f
  Tensor Train decomposition on TensorFlow
  ☆228Updated 4 years ago
• amirgholami / HessianFlow
  ☆83Updated 5 years ago
• rajatvd / NeuralODE
  Experiments with Neural ODEs and Adversarial Attacks
  ☆44Updated 6 years ago
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆132Updated 6 years ago
• quanta-fine-tuning / quanta
  (NeurIPS 2024) QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
  ☆34Updated last month
• toshas / sttp
  Spectral Tensor Train Parameterization of Deep Learning Layers
  ☆17Updated 4 years ago
• aryandeshwal / HyBO
  ☆23Updated 3 years ago
• artur-deluca / landscapeviz
  Visualizing the the loss landscape of Fully-Connected Neural Networks
  ☆46Updated 2 years ago