Alternatives and similar repositories for PathLevel-EAS:

Users that are interested in PathLevel-EAS are comparing it to the libraries listed below

• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆170Updated 5 years ago
• titu1994 / progressive-neural-architecture-search
  Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
  ☆119Updated 5 years ago
• linnanwang / AlphaX-NASBench101
  Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search
  ☆167Updated 4 years ago
• tanglang96 / DDPNAS
  Dynamic Distribution Pruning for Efficient Network Architecture Search
  ☆48Updated 5 years ago
• anubhavashok / N2N
  ☆55Updated 5 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 5 years ago
• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆112Updated 3 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆50Updated 5 years ago
• JunrQ / NAS
  Neural architecture search(NAS)
  ☆14Updated 5 years ago
• romulus0914 / NASBench-PyTorch
  A PyTorch implementation of NASBench
  ☆52Updated last year
• tanglang96 / MDENAS
  Multinomial Distribution Learning for Effective Neural Architecture Search
  ☆207Updated 5 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆124Updated 6 years ago
• Astrodyn94 / SNAS-Stochastic-Neural-Architecture-Search-
  Pytorch implementation of SNAS
  ☆75Updated 6 years ago
• dragen1860 / DARTS-PyTorch
  PyTorch 1.0 supported for CNN exp.
  ☆82Updated 5 years ago
• TuSimple / sparse-structure-selection
  ☆87Updated 6 years ago
• bobye / batchnorm_prune
  Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
  ☆30Updated 5 years ago
• enyac-group / single-path-nas
  Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
  ☆396Updated 4 years ago
• xiaomi-automl / SCARLET-NAS
  Bridging the gap Between Stability and Scalability in Neural Architecture Search
  ☆141Updated 3 years ago
• JaminFong / darts-multi_gpu
  Differentiable architecture search for convolutional and recurrent networks
  ☆30Updated 5 years ago
• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• AnonymousMetaLearn / Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search
  ☆18Updated 5 years ago
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆112Updated 4 years ago
• MAC-AutoML / rethinking_performance_estimation_in_NAS
  ☆165Updated last year
• wandering007 / nasnet-pytorch
  A neat pytorch implementation of nasnet and the ported weights from tensorflow
  ☆75Updated 4 years ago
• zhaohui-yang / CARS
  [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search
  ☆104Updated 4 years ago
• hysts / pytorch_shake_shake
  A PyTorch implementation of shake-shake
  ☆111Updated 4 years ago
• JiaminRen / CVdevKit
  PyTorch Computer Vision Foundation
  ☆19Updated 5 years ago
• arberzela / EfficientNAS
  Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
  ☆48Updated 4 years ago