Alternatives and similar repositories for Decompose-CNN

Users that are interested in Decompose-CNN are comparing it to the libraries listed below

• jacobgil / pytorch-tensor-decompositions
  PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
  ☆283Updated 3 years ago
• sseung0703 / SSKD_SVD
  ☆51Updated 5 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• wubaoyuan / CNN-FCF-CVPR-2019
  ☆25Updated 6 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆129Updated 3 years ago
• xujinfan / NASP-codes
  ☆46Updated 5 years ago
• yuchaoli / KSE
  Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
  ☆49Updated last year
• wangwenqi1990 / TensorRingCompletion
  ☆8Updated 7 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆45Updated 4 years ago
• xiangning-chen / SmoothDARTS
  Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"
  ☆76Updated 4 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆65Updated 3 years ago
• bermanmaxim / AOWS
  Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020
  ☆36Updated 5 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
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 4 years ago
• yanghr / SVD_Prune_EDLCV
  Code for EDLCV 2020 paper "Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Spa…
  ☆15Updated 5 years ago
• simochen / model-tools
  Tools for computing model parameters and FLOPs.
  ☆87Updated 6 years ago
• BayesNAS / BayesNAS
  ☆21Updated 6 years ago
• kalviny / IMTA
  ☆48Updated 5 years ago
• Tuyki / TT_RNN
  ☆103Updated 7 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• bhpfelix / MTLNAS
  [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
  ☆94Updated 2 years ago
• yanghr / DeepHoyer
  DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
  ☆33Updated 4 years ago
• huangzehao / sparse-structure-selection
  ☆38Updated 6 years ago
• philip-bl / tensorizing_neural_networks-novikov_2015
  MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)
  ☆13Updated 5 years ago
• csyhhu / L-DNQ
  Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
  ☆41Updated 6 years ago
• XiaoxiaSun / supervised-deep-sparse-coding-networks
  supervised deep sparse coding networks
  ☆31Updated 8 years ago
• tnbar / tednet
  TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
  ☆97Updated 3 years ago
• jaehong31 / CGES
  Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017
  ☆31Updated 7 years ago
• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆113Updated 4 years ago