Alternatives and similar repositories for convnet-burden

Users that are interested in convnet-burden are comparing it to the libraries listed below

• facebookresearch / kill-the-bits
  Code for: "And the bit goes down: Revisiting the quantization of neural networks"
  ☆633Updated 4 years ago
• jacobgil / pytorch-pruning
  PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
  ☆882Updated 6 years ago
• mit-han-lab / proxylessnas
  [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
  ☆1,442Updated 10 months ago
• ethanhe42 / channel-pruning
  Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
  ☆1,083Updated last year
• Eric-mingjie / rethinking-network-pruning
  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
  ☆1,513Updated 5 years ago
• songhan / Deep-Compression-AlexNet
  Deep Compression on AlexNet
  ☆670Updated 3 years ago
• sun254 / awesome-model-compression-and-acceleration
  a list of awesome papers on deep model ompression and acceleration
  ☆351Updated 4 years ago
• ShichenLiu / CondenseNet
  CondenseNet: Light weighted CNN for mobile devices
  ☆692Updated 5 years ago
• chester256 / Model-Compression-Papers
  Papers for deep neural network compression and acceleration
  ☆399Updated 4 years ago
• JiahuiYu / slimmable_networks
  Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
  ☆922Updated 2 years ago
• tonylins / pytorch-mobilenet-v2
  A PyTorch implementation of MobileNet V2 architecture and pretrained model.
  ☆1,396Updated 5 years ago
• facebookresearch / mobile-vision
  Mobile vision models and code
  ☆911Updated 4 months ago
• memoiry / Awesome-model-compression-and-acceleration
  ☆668Updated 3 years ago
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆443Updated last year
• enyac-group / single-path-nas
  Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
  ☆396Updated 4 years ago
• Robert-JunWang / Pelee
  Pelee: A Real-Time Object Detection System on Mobile Devices
  ☆885Updated 6 years ago
• liuzhuang13 / slimming
  Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
  ☆569Updated 5 years ago
• wenwei202 / caffe
  Caffe for Sparse and Low-rank Deep Neural Networks
  ☆380Updated 5 years ago
• pytorch / tvm
  TVM integration into PyTorch
  ☆453Updated 5 years ago
• eladhoffer / convNet.pytorch
  ConvNet training using pytorch
  ☆347Updated 4 years ago
• soeaver / caffe-model
  Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
  ☆1,279Updated 7 years ago
• MingSun-Tse / Efficient-Deep-Learning
  Collection of recent methods on (deep) neural network compression and acceleration.
  ☆948Updated 3 months ago
• hahnyuan / nn_tools
  Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.
  ☆355Updated 4 years ago
• pytorch / QNNPACK
  Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
  ☆1,542Updated 5 years ago
• awwong1 / torchprof
  PyTorch layer-by-layer model profiler
  ☆607Updated 4 years ago
• MG2033 / ShuffleNet
  ShuffleNet Implementation in TensorFlow
  ☆383Updated 6 years ago
• mit-han-lab / once-for-all
  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
  ☆1,925Updated last year
• antspy / quantized_distillation
  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
  ☆336Updated 11 months ago
• jiecaoyu / XNOR-Net-PyTorch
  PyTorch Implementation of XNOR-Net
  ☆496Updated 2 years ago
• longcw / pytorch2caffe
  Convert PyTorch model to Caffemodel
  ☆541Updated 6 years ago