Alternatives and similar repositories for skipnet

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

• andreasveit / convnet-aig
  PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs
  ☆185Updated 6 years ago
• Tushar-N / blockdrop
  BlockDrop: Dynamic Inference Paths in Residual Networks
  ☆142Updated 2 years ago
• alvinwan / shiftresnet-cifar
  ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
  ☆139Updated last year
• kalviny / MSDNet-PyTorch
  MSDNet
  ☆190Updated 3 years ago
• chenxi116 / PNASNet.pytorch
  PyTorch implementation of PNASNet-5 on ImageNet
  ☆317Updated 2 years ago
• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• simochen / model-tools
  Tools for computing model parameters and FLOPs.
  ☆88Updated 6 years ago
• eladhoffer / convNet.pytorch
  ConvNet training using pytorch
  ☆347Updated 4 years ago
• JunrQ / NAS
  Neural architecture search(NAS)
  ☆14Updated 6 years ago
• enyac-group / single-path-nas
  Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
  ☆396Updated 4 years ago
• tanglang96 / MDENAS
  Multinomial Distribution Learning for Effective Neural Architecture Search
  ☆207Updated 6 years ago
• mit-han-lab / amc-models
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆167Updated 4 years ago
• antspy / quantized_distillation
  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
  ☆336Updated 11 months ago
• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆112Updated 7 years ago
• gaohuang / MSDNet
  Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）
  ☆460Updated 6 years ago
• MAC-AutoML / rethinking_performance_estimation_in_NAS
  ☆166Updated 2 years ago
• meijieru / AtomNAS
  [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
  ☆222Updated 5 years ago
• SCUT-AILab / DCP
  Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
  ☆183Updated 4 years ago
• youzhonghui / gate-decorator-pruning
  Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"
  ☆196Updated 5 years ago
• Astrodyn94 / SNAS-Stochastic-Neural-Architecture-Search-
  Pytorch implementation of SNAS
  ☆75Updated 6 years ago
• adri-romsor / FitNets
  FitNets: Hints for Thin Deep Nets
  ☆208Updated 10 years ago
• JaminFong / DenseNAS
  Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)
  ☆294Updated 5 years ago
• BayesWatch / sequential-imagenet-dataloader
  A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.
  ☆239Updated 3 years ago
• yuchaoli / KSE
  Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
  ☆49Updated 2 years ago
• chenxin061 / pdarts
  Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"
  ☆364Updated 5 years ago
• D-X-Y / NAS-Bench-201
  NAS-Bench-201 API and Instruction
  ☆633Updated 4 years ago
• junyuseu / pytorch-cifar-models
  3.41% and 17.11% error on CIFAR-10 and CIFAR-100
  ☆333Updated 6 years ago
• zhaohui-yang / CARS
  [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search
  ☆104Updated 5 years ago
• dragen1860 / DARTS-PyTorch
  PyTorch 1.0 supported for CNN exp.
  ☆81Updated 6 years ago
• VITA-Group / Deep-K-Means-pytorch
  [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
  ☆152Updated 3 years ago