Alternatives and similar repositories for progressive-neural-architecture-search

Users that are interested in progressive-neural-architecture-search are comparing it to the libraries listed below

• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆112Updated 7 years ago
• linnanwang / AlphaX-NASBench101
  Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search
  ☆169Updated 4 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 6 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆169Updated 6 years ago
• dhruvramani / Neural-Architecture-Search-with-RL
  Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
  ☆41Updated 7 years ago
• shirakawas / ASNG-NAS
  Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
  ☆89Updated 6 years ago
• arberzela / EfficientNAS
  Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
  ☆49Updated 5 years ago
• chenxi116 / PNASNet.TF
  TensorFlow implementation of PNASNet-5 on ImageNet
  ☆101Updated 6 years ago
• anubhavashok / N2N
  ☆55Updated 6 years ago
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆113Updated 5 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆126Updated 6 years ago
• necludov / group-sparsity-sbp
  Structured Bayesian Pruning, NIPS 2017
  ☆74Updated 5 years ago
• chenxi116 / PNASNet.pytorch
  PyTorch implementation of PNASNet-5 on ImageNet
  ☆319Updated 3 years ago
• negrinho / deep_architect
  A general, modular, and programmable architecture search framework
  ☆124Updated 2 years ago
• renqianluo / NAO
  Neural Architecture Optimization
  ☆285Updated 4 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 8 years ago
• hysts / pytorch_shake_shake
  A PyTorch implementation of shake-shake
  ☆111Updated 5 years ago
• wallarm / nascell-automl
  ☆253Updated 4 years ago
• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆113Updated 4 years ago
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆134Updated 6 years ago
• Lyken17 / SparseNet
  [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895
  ☆124Updated 6 years ago
• BayesWatch / pytorch-prunes
  Code for https://arxiv.org/abs/1810.04622
  ☆141Updated 5 years ago
• juefeix / pnn.pytorch
  PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html
  ☆138Updated 6 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆49Updated 5 years ago
• MITAutoML / accelerating_nas
  Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)
  ☆18Updated 7 years ago
• zhaohui-yang / LegoNet
  A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
  ☆140Updated 4 years ago
• avirambh / MSDNet-GCN
  ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction
  ☆134Updated 7 years ago
• bowenbaker / metaqnn
  ☆136Updated 8 years ago
• antoyang / NAS-Benchmark
  [ICLR 2020] NAS evaluation is frustratingly hard
  ☆149Updated last year