Alternatives and similar repositories for Quantized_ResNet

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

• csyhhu / L-DNQ
  Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
  ☆41Updated 6 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago
• nowgood / QuantizeCNNModel
  Implement Towards Effective Low-bitwidth Convolutional Neural Networks
  ☆41Updated 7 years ago
• huangzehao / sparse-structure-selection
  ☆39Updated 7 years ago
• guoxiaolu / model_compression
  deep learning model compression based on keras
  ☆32Updated 7 years ago
• jack-willturner / batchnorm-pruning
  Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
  ☆72Updated 7 years ago
• mengrang / Slimming-pytorch
  Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”
  ☆77Updated 6 years ago
• xinyaoliu / Deep-Compression-for-Neural-Networks
  Deep Compression: Compressing Deep Neural Networks With Pruning, Trained Quantization And Huffman Coding
  ☆16Updated 6 years ago
• nephashi / DeepCompression
  implementation of Iterative Pruning for Deep neural network [Han2015].
  ☆40Updated 7 years ago
• kentaroy47 / Deep-Compression.Pytorch
  Unofficial Pytorch implementation of Deep Compression in CIFAR10
  ☆35Updated 4 years ago
• sseung0703 / SSKD_SVD
  ☆51Updated 6 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆65Updated 3 years ago
• Enderdead / Pytorch_Quantize_impls
  Some recent Quantizing techniques on PyTorch
  ☆72Updated 6 years ago
• wubaoyuan / CNN-FCF-CVPR-2019
  ☆25Updated 6 years ago
• sxpro / HetConvolution2d_pytorch
  HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs simply implement
  ☆44Updated 6 years ago
• eeric / channel_prune
  Base to channel pruned to ResNet18 model
  ☆147Updated 3 years ago
• ActiveVisionLab / DSConv
  ☆54Updated 6 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆31Updated 6 years ago
• layog / Accurate-Binary-Convolution-Network
  Binary Convolution Network for faster real-time processing in ASICs
  ☆57Updated 7 years ago
• zepx / pytorch-weight-prune
  Pytorch version for weight pruning for Murata Group's CREST project
  ☆57Updated 7 years ago
• Roll920 / ThiNet
  caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342
  ☆148Updated 7 years ago
• istoony / winograd-convolutional-nn
  I'm going to use the Winograd’s minimal filtering algorithms to introduce a new class of fast algorithms for convolutional neural networks…
  ☆12Updated 7 years ago
• megvii-model / MetaPruning
  ☆45Updated 6 years ago
• jack-willturner / deep-compression
  Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
  ☆181Updated 3 years ago
• xujinfan / NASP-codes
  ☆46Updated 5 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆43Updated 3 years ago
• wjc852456 / pytorch-quant
  DL quantization for pytorch
  ☆26Updated 6 years ago
• simochen / model-tools
  Tools for computing model parameters and FLOPs.
  ☆88Updated 6 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 5 years ago
• xxradon / IGCV3-pytorch
  IGCV3 reimplement by pytorch
  ☆19Updated 7 years ago