Alternatives and similar repositories for Single-Path-One-Shot-NAS-MXNet:

Users that are interested in Single-Path-One-Shot-NAS-MXNet are comparing it to the libraries listed below

• megvii-model / SinglePathOneShot
  ☆262Updated 5 years ago
• meijieru / AtomNAS
  [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
  ☆222Updated 4 years ago
• tanglang96 / MDENAS
  Multinomial Distribution Learning for Effective Neural Architecture Search
  ☆207Updated 5 years ago
• xiaomi-automl / SCARLET-NAS
  Bridging the gap Between Stability and Scalability in Neural Architecture Search
  ☆141Updated 3 years ago
• MAC-AutoML / rethinking_performance_estimation_in_NAS
  ☆165Updated last year
• xiaomi-automl / FairDARTS
  Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
  ☆173Updated last year
• Zx55 / dmcp
  ☆120Updated 4 years ago
• AnjieCheng / MnasNet-PyTorch
  A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
  ☆271Updated 6 years ago
• JunrQ / NAS
  Neural architecture search(NAS)
  ☆14Updated 5 years ago
• ShunLu91 / Single-Path-One-Shot-NAS
  SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.
  ☆245Updated 3 years ago
• d-li14 / HBONet
  [ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2
  ☆102Updated 4 years ago
• JaminFong / DenseNAS
  Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)
  ☆294Updated 4 years ago
• megvii-model / DetNAS
  ☆296Updated 4 years ago
• peiswang / MicroNetChallenge
  ☆5Updated 5 years ago
• 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
• SCUT-AILab / DCP
  Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
  ☆184Updated 4 years ago
• DingXiaoH / Centripetal-SGD
  Codes of Centripetal SGD
  ☆63Updated 2 years ago
• mit-han-lab / amc-models
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆166Updated 3 years ago
• enyac-group / single-path-nas
  Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
  ☆396Updated 4 years ago
• TuSimple / sparse-structure-selection
  ☆87Updated 6 years ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆156Updated 4 years ago
• zhaohui-yang / CARS
  [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search
  ☆104Updated 4 years ago
• JaminFong / darts-multi_gpu
  Differentiable architecture search for convolutional and recurrent networks
  ☆30Updated 5 years ago
• enyac-group / LeGR
  CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"
  ☆114Updated 4 years ago
• TuSimple / neuron-selectivity-transfer
  ☆134Updated 6 years ago
• lixincn2015 / Partial-Order-Pruning
  Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search
  ☆150Updated 4 years ago
• nowgood / QuantizeCNNModel
  Implement Towards Effective Low-bitwidth Convolutional Neural Networks
  ☆42Updated 6 years ago
• homles11 / IGCV3
  Code and Pretrained model for IGCV3
  ☆189Updated 6 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
• JaminFong / FNA
  Fast Neural Network Adaptation via Parameter Remapping and Architecture Search (ICLR2020 & TPAMI)
  ☆166Updated 3 years ago