Alternatives and similar repositories for sparse-structure-selection:

Users that are interested in sparse-structure-selection are comparing it to the libraries listed below

• jack-willturner / batchnorm-pruning
  Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
  ☆71Updated 6 years ago
• TuSimple / sparse-structure-selection
  ☆87Updated 6 years ago
• TuSimple / neuron-selectivity-transfer
  ☆134Updated 6 years ago
• ZJULearning / COP
  Code for IJCAI2019 paper
  ☆46Updated 5 years ago
• JunrQ / NAS
  Neural architecture search(NAS)
  ☆14Updated 5 years ago
• DingXiaoH / Centripetal-SGD
  Codes of Centripetal SGD
  ☆63Updated 2 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
  ☆146Updated 6 years ago
• d-li14 / dgconv.pytorch
  PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models
  ☆69Updated 4 years ago
• enyac-group / LeGR
  CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"
  ☆114Updated 5 years ago
• MAC-AutoML / rethinking_performance_estimation_in_NAS
  ☆165Updated last year
• Astrodyn94 / SNAS-Stochastic-Neural-Architecture-Search-
  Pytorch implementation of SNAS
  ☆75Updated 6 years ago
• nowgood / QuantizeCNNModel
  Implement Towards Effective Low-bitwidth Convolutional Neural Networks
  ☆42Updated 6 years ago
• Roll920 / ThiNet_Code
  Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet
  ☆46Updated 6 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 4 years ago
• yuchaoli / KSE
  Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
  ☆48Updated last year
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆44Updated 2 years ago
• SCUT-AILab / DCP
  Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
  ☆184Updated 4 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 4 years ago
• Zx55 / dmcp
  ☆120Updated 4 years ago
• xiaomi-automl / SCARLET-NAS
  Bridging the gap Between Stability and Scalability in Neural Architecture Search
  ☆141Updated 3 years ago
• zhaohui-yang / CARS
  [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search
  ☆104Updated 4 years ago
• mengrang / Slimming-pytorch
  Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”
  ☆77Updated 6 years ago
• madoibito80 / NetAdapt
  Implementation of NetAdapt
  ☆30Updated 4 years ago
• meijieru / AtomNAS
  [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
  ☆222Updated 4 years ago
• alvinwan / shiftresnet-cifar
  ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
  ☆139Updated last year
• simochen / model-tools
  Tools for computing model parameters and FLOPs.
  ☆86Updated 6 years ago
• d-li14 / HBONet
  [ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2
  ☆102Updated 4 years ago
• CanyonWind / Single-Path-One-Shot-NAS-MXNet
  Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Search…
  ☆151Updated 4 years ago
• skmhrk1209 / Single-Path-NAS-PyTorch
  PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"
  ☆37Updated 2 years ago
• alphadl / darts.pytorch1.1
  Implementation with latest PyTorch (v1.1) for multi-gpu DARTS https://arxiv.org/abs/1806.09055
  ☆83Updated 5 years ago