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.
  ☆284Updated 3 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 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
• yuchaoli / KSE
  Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
  ☆49Updated 2 years ago
• BayesWatch / pytorch-moonshine
  Cheap distillation for convolutional neural networks.
  ☆33Updated 6 years ago
• kalviny / IMTA
  ☆47Updated 5 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 4 years ago
• wubaoyuan / CNN-FCF-CVPR-2019
  ☆25Updated 6 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
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆129Updated 3 years ago
• anokland / local-loss
  PyTorch code for training neural networks without global back-propagation
  ☆165Updated 5 years ago
• sseung0703 / SSKD_SVD
  ☆51Updated 5 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆45Updated 4 years ago
• mil-ad / studying-binary-neural-networks
  ☆52Updated 6 years ago
• wangwenqi1990 / TensorRingCompletion
  ☆8Updated 7 years ago
• sajaddarabi / BiRealNet
  Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights
  ☆17Updated 5 years ago
• eghouti / BinaryConnect
  Implementation of BinaryConnect on Pytorch
  ☆39Updated 4 years ago
• AMLab-Amsterdam / L0_regularization
  Learning Sparse Neural Networks through L0 regularization
  ☆244Updated 4 years ago
• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆91Updated 2 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 7 years ago
• TropComplique / image-classification-caltech-256
  Exploring CNNs and model quantization on Caltech-256 dataset
  ☆84Updated 7 years ago
• csyhhu / L-OBS
  Codes for Layer-wise Optimal Brain Surgeon
  ☆78Updated 6 years ago
• mil-ad / snip
  Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.
  ☆108Updated 6 years ago
• xujinfan / NASP-codes
  ☆46Updated 5 years ago
• bhpfelix / MTLNAS
  [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
  ☆94Updated 2 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆55Updated 4 years ago
• team-approx-bayes / BayesBiNN
  Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
  ☆39Updated 3 years ago
• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆113Updated 4 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