enyac-group / single-path-nas

Related projects: ⓘ

• chenxin061 / pdarts
  Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"
  ☆359Updated 4 years ago
• JunrQ / NAS
  Neural architecture search(NAS)
  ☆14Updated 5 years ago
• AnnaAraslanova / FBNet
  ☆143Updated this week
• JaminFong / DenseNAS
  Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)
  ☆295Updated 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"
  ☆194Updated 4 years ago
• yuhuixu1993 / PC-DARTS
  PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
  ☆434Updated 4 years ago
• D-X-Y / NAS-Bench-201
  NAS-Bench-201 API and Instruction
  ☆625Updated 3 years ago
• AnjieCheng / MnasNet-PyTorch
  A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
  ☆271Updated 6 years ago
• eladhoffer / quantized.pytorch
  ☆212Updated 5 years ago
• MAC-AutoML / rethinking_performance_estimation_in_NAS
  ☆165Updated last year
• sun254 / awesome-model-compression-and-acceleration
  a list of awesome papers on deep model ompression and acceleration
  ☆346Updated 3 years ago
• tanglang96 / MDENAS
  Multinomial Distribution Learning for Effective Neural Architecture Search
  ☆207Updated 5 years ago
• chenxi116 / PNASNet.pytorch
  PyTorch implementation of PNASNet-5 on ImageNet
  ☆315Updated 2 years ago
• JiaminRen / RandWireNN
  Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
  ☆272Updated 4 years ago
• khanrc / pt.darts
  PyTorch Implementation of DARTS: Differentiable Architecture Search
  ☆438Updated 2 years ago
• antspy / quantized_distillation
  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
  ☆329Updated last month
• he-y / soft-filter-pruning
  Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
  ☆376Updated 4 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 5 years ago
• meijieru / AtomNAS
  [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
  ☆224Updated 4 years ago
• mit-han-lab / amc-models
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆165Updated 3 years ago
• liuzechun / MetaPruning
  MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.
  ☆351Updated 4 years ago
• xiaomi-automl / FairNAS
  FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
  ☆303Updated last month
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆164Updated 4 years ago
• xiaomi-automl / FairDARTS
  Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
  ☆171Updated 11 months ago
• eladhoffer / convNet.pytorch
  ConvNet training using pytorch
  ☆345Updated 3 years ago
• JiahuiYu / slimmable_networks
  Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
  ☆905Updated last year
• 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
• hessamb / label-refinery
  Label Refinery: Improving ImageNet Classification through Label Progression
  ☆280Updated 6 years ago
• BayesWatch / sequential-imagenet-dataloader
  A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.
  ☆238Updated 3 years ago
• ucbdrive / skipnet
  Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)
  ☆233Updated 5 years ago