Alternatives and similar repositories for pytorch-tensor-decompositions:

Users that are interested in pytorch-tensor-decompositions are comparing it to the libraries listed below

• ruihangdu / Decompose-CNN
  CP and Tucker decomposition for Convolutional Neural Networks
  ☆82Updated 6 years ago
• Tuyki / TT_RNN
  ☆104Updated 7 years ago
• Bihaqo / t3f
  Tensor Train decomposition on TensorFlow
  ☆223Updated 3 years ago
• tnbar / tednet
  TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
  ☆94Updated 2 years ago
• philip-bl / tensorizing_neural_networks-novikov_2015
  MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)
  ☆13Updated 5 years ago
• wangwenqi1990 / TensorRingCompletion
  ☆8Updated 7 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 4 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆114Updated 7 years ago
• AMLab-Amsterdam / L0_regularization
  Learning Sparse Neural Networks through L0 regularization
  ☆240Updated 4 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago
• juliagusak / model-compression-and-acceleration-progress
  Repository to track the progress in model compression and acceleration
  ☆105Updated 3 years ago
• itayhubara / BinaryNet.pytorch
  Binarized Neural Network (BNN) for pytorch
  ☆510Updated last year
• mil-ad / snip
  Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.
  ☆107Updated 5 years ago
• jack-willturner / deep-compression
  Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
  ☆177Updated 2 years ago
• eladhoffer / convNet.pytorch
  ConvNet training using pytorch
  ☆345Updated 4 years ago
• arkmagus / tensor_rnn
  An implementation of various tensor-based decomposition for NN & RNN parameters
  ☆20Updated 6 years ago
• VITA-Group / Deep-K-Means-pytorch
  [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
  ☆152Updated 3 years ago
• antspy / quantized_distillation
  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
  ☆331Updated 8 months ago
• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• JeanKossaifi / tensorly-notebooks
  Tensor methods in Python with TensorLy
  ☆436Updated 2 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• CasvandenBogaard / VBMF
  Python implementation of the analytical solution to Variational Bayes Matrix Factorization
  ☆32Updated 8 years ago
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆113Updated 5 years ago
• KhrulkovV / tt-pytorch
  ☆60Updated 4 years ago
• musco-ai / musco-pytorch
  MUSCO: MUlti-Stage COmpression of neural networks
  ☆71Updated 4 years ago
• chester256 / Model-Compression-Papers
  Papers for deep neural network compression and acceleration
  ☆397Updated 3 years ago
• yeshaokai / Robustness-Aware-Pruning-ADMM
  Code release for "Adversarial Robustness vs Model Compression, or Both?"
  ☆91Updated 3 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆128Updated 3 years ago
• adri-romsor / FitNets
  FitNets: Hints for Thin Deep Nets
  ☆205Updated 9 years ago
• csyhhu / L-OBS
  Codes for Layer-wise Optimal Brain Surgeon
  ☆77Updated 6 years ago