Alternatives and similar repositories for channel-pruning

Users that are interested in channel-pruning are comparing it to the libraries listed below

• liuzhuang13 / slimming
  Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
  ☆569Updated 6 years ago
• foolwood / pytorch-slimming
  Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
  ☆574Updated 6 years ago
• miaow1988 / ShuffleNet_V2_pytorch_caffe
  ShuffleNet-V2 for both PyTorch and Caffe.
  ☆506Updated 6 years ago
• jacobgil / pytorch-pruning
  PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
  ☆882Updated 6 years ago
• songhan / Deep-Compression-AlexNet
  Deep Compression on AlexNet
  ☆670Updated 3 years ago
• he-y / soft-filter-pruning
  Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
  ☆380Updated 5 years ago
• Eric-mingjie / network-slimming
  Network Slimming (Pytorch) (ICCV 2017)
  ☆912Updated 4 years ago
• sun254 / awesome-model-compression-and-acceleration
  a list of awesome papers on deep model ompression and acceleration
  ☆351Updated 4 years ago
• longcw / pytorch2caffe
  Convert PyTorch model to Caffemodel
  ☆540Updated 6 years ago
• yonghenglh6 / DepthwiseConvolution
  A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
  ☆526Updated 4 years ago
• MG2033 / ShuffleNet
  ShuffleNet Implementation in TensorFlow
  ☆383Updated 6 years ago
• hahnyuan / nn_tools
  Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.
  ☆355Updated 4 years ago
• may0324 / DeepCompression-caffe
  Caffe for Deep Compression
  ☆239Updated 7 years ago
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆443Updated last year
• Eric-mingjie / rethinking-network-pruning
  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
  ☆1,513Updated 5 years ago
• wenwei202 / caffe
  Caffe for Sparse and Low-rank Deep Neural Networks
  ☆380Updated 5 years ago
• farmingyard / ShuffleNet
  This is a fast caffe implementation of ShuffleNet.
  ☆452Updated 6 years ago
• Robert-JunWang / Pelee
  Pelee: A Real-Time Object Detection System on Mobile Devices
  ☆885Updated 6 years ago
• memoiry / Awesome-model-compression-and-acceleration
  ☆668Updated 3 years ago
• liuzechun / MetaPruning
  MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.
  ☆354Updated 5 years ago
• albanie / convnet-burden
  Memory consumption and FLOP count estimates for convnets
  ☆926Updated 6 years ago
• JiahuiYu / slimmable_networks
  Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
  ☆922Updated 2 years ago
• szq0214 / DSOD
  DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.
  ☆709Updated 5 years ago
• BUG1989 / caffe-int8-convert-tools
  Generate a quantization parameter file for ncnn framework int8 inference
  ☆518Updated 4 years ago
• xxradon / PytorchToCaffe
  Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some…
  ☆785Updated 4 years ago
• ShichenLiu / CondenseNet
  CondenseNet: Light weighted CNN for mobile devices
  ☆692Updated 5 years ago
• tonylins / pytorch-mobilenet-v2
  A PyTorch implementation of MobileNet V2 architecture and pretrained model.
  ☆1,397Updated 5 years ago
• AnjieCheng / MnasNet-PyTorch
  A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
  ☆274Updated 6 years ago
• ericsun99 / Shufflenet-v2-Pytorch
  Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).
  ☆434Updated 6 years ago
• zengarden / light_head_rcnn
  Light-Head R-CNN
  ☆836Updated 6 years ago