Alternatives and similar repositories for convnet-burden:

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

• ethanhe42 / channel-pruning
  Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
  ☆1,082Updated 8 months ago
• facebookresearch / kill-the-bits
  Code for: "And the bit goes down: Revisiting the quantization of neural networks"
  ☆634Updated 4 years ago
• tonylins / pytorch-mobilenet-v2
  A PyTorch implementation of MobileNet V2 architecture and pretrained model.
  ☆1,385Updated 5 years ago
• songhan / Deep-Compression-AlexNet
  Deep Compression on AlexNet
  ☆660Updated 2 years ago
• mit-han-lab / proxylessnas
  [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
  ☆1,426Updated 4 months ago
• Eric-mingjie / rethinking-network-pruning
  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
  ☆1,511Updated 4 years ago
• jacobgil / pytorch-pruning
  PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
  ☆877Updated 5 years ago
• chester256 / Model-Compression-Papers
  Papers for deep neural network compression and acceleration
  ☆397Updated 3 years ago
• pytorch / tvm
  TVM integration into PyTorch
  ☆453Updated 5 years ago
• awwong1 / torchprof
  PyTorch layer-by-layer model profiler
  ☆606Updated 3 years ago
• ShichenLiu / CondenseNet
  CondenseNet: Light weighted CNN for mobile devices
  ☆694Updated 5 years ago
• facebookresearch / mobile-vision
  Mobile vision models and code
  ☆904Updated 6 months ago
• IntelLabs / distiller
  Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…
  ☆4,364Updated last year
• memoiry / Awesome-model-compression-and-acceleration
  ☆663Updated 3 years ago
• JiahuiYu / slimmable_networks
  Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
  ☆914Updated 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
  ☆884Updated 6 years ago
• pytorch / QNNPACK
  Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
  ☆1,533Updated 5 years ago
• kuangliu / pytorch-retinanet
  RetinaNet in PyTorch
  ☆996Updated 5 years ago
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆436Updated last year
• MingSun-Tse / Efficient-Deep-Learning
  Collection of recent methods on (deep) neural network compression and acceleration.
  ☆936Updated last month
• wenwei202 / caffe
  Caffe for Sparse and Low-rank Deep Neural Networks
  ☆379Updated 4 years ago
• liuzhuang13 / slimming
  Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
  ☆566Updated 5 years ago
• eladhoffer / convNet.pytorch
  ConvNet training using pytorch
  ☆347Updated 3 years ago
• allenai / XNOR-Net
  ImageNet classification using binary Convolutional Neural Networks
  ☆857Updated 7 years ago
• sun254 / awesome-model-compression-and-acceleration
  a list of awesome papers on deep model ompression and acceleration
  ☆350Updated 3 years ago
• AnjieCheng / MnasNet-PyTorch
  A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
  ☆271Updated 6 years ago