Alternatives and similar repositories for Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search:

Users that are interested in Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search are comparing it to the libraries listed below

• romulus0914 / NASBench-PyTorch
  A PyTorch implementation of NASBench
  ☆52Updated last year
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆50Updated 5 years ago
• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆112Updated 6 years ago
• automl / nasbench-1shot1
  ☆67Updated 4 years ago
• antoyang / NAS-Benchmark
  [ICLR 2020] NAS evaluation is frustratingly hard
  ☆149Updated last year
• MAC-AutoML / XNAS
  XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.
  ☆47Updated 2 years ago
• MetaAnonym / RobustDARTS
  ☆40Updated 5 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆44Updated 4 years ago
• naszilla / nas-encodings
  Encodings for neural architecture search
  ☆29Updated 3 years ago
• xiangning-chen / SmoothDARTS
  Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"
  ☆76Updated 3 years ago
• tanglang96 / DDPNAS
  Dynamic Distribution Pruning for Efficient Network Architecture Search
  ☆48Updated 5 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆169Updated 5 years ago
• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆113Updated 3 years ago
• automl / nas_benchmarks
  ☆95Updated 5 years ago
• shuyao95 / Understanding-NAS
  Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search
  ☆27Updated 5 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆18Updated 5 years ago
• yanghr / DeepHoyer
  DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
  ☆31Updated 4 years ago
• xiangning-chen / DrNAS
  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"
  ☆44Updated 3 years ago
• xiaomi-automl / MixPath
  MixPath: A Unified Approach for One-shot Neural Architecture Search
  ☆28Updated 4 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 4 years ago
• titu1994 / progressive-neural-architecture-search
  Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
  ☆118Updated 6 years ago
• skmhrk1209 / Single-Path-NAS-PyTorch
  PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"
  ☆36Updated 2 years ago
• xujinfan / NASP-codes
  ☆46Updated 4 years ago
• alecwangcq / GraSP
  Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
  ☆101Updated 4 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 5 years ago
• VITA-Group / WeakNAS
  [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…
  ☆27Updated 2 years ago
• facebookresearch / AttentiveNAS
  code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
  ☆104Updated 3 years ago
• linnanwang / AlphaX-NASBench101
  Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search
  ☆167Updated 4 years ago
• shirakawas / ASNG-NAS
  Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
  ☆89Updated 5 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 5 years ago