Alternatives and similar repositories for Neural-Architecture-Search

Users that are interested in Neural-Architecture-Search are comparing it to the libraries listed below

• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆113Updated 4 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
• romulus0914 / NASBench-PyTorch
  A PyTorch implementation of NASBench
  ☆52Updated 2 years ago
• MITAutoML / accelerating_nas
  Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)
  ☆18Updated 7 years ago
• chaoyanghe / MiLeNAS
  MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Published in CVPR 2020
  ☆36Updated 4 years ago
• automl / nasbench-1shot1
  ☆68Updated 5 years ago
• antoyang / NAS-Benchmark
  [ICLR 2020] NAS evaluation is frustratingly hard
  ☆149Updated 2 years ago
• TDeVries / enas_pytorch
  PyTorch port of "Efficient Neural Architecture Search via Parameters Sharing"
  ☆53Updated 7 years ago
• lixingjian / DELTA
  DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229
  ☆66Updated 4 years ago
• shirakawas / ASNG-NAS
  Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
  ☆89Updated 6 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆49Updated 5 years ago
• BayesNAS / BayesNAS
  ☆21Updated 6 years ago
• titu1994 / progressive-neural-architecture-search
  Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
  ☆118Updated 6 years ago
• ArkadiyD / MacroNASBenchmark
  Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…
  ☆12Updated last year
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆135Updated 6 years ago
• csjunxu / GDAS
  PyTorch implementation of "Searching for A Robust Neural Architecture in Four GPU Hours", CVPR 2019
  ☆16Updated 6 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆45Updated 5 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆70Updated 4 years ago
• SoojungYang / supervised_pretraining_GN_WS
  Supervised NN for pre-training. with group normalization and weight standardization
  ☆30Updated 5 years ago
• shuyao95 / Understanding-NAS
  Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search
  ☆28Updated 5 years ago
• xiangning-chen / SmoothDARTS
  Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"
  ☆76Updated 4 years ago
• TropComplique / image-classification-caltech-256
  Exploring CNNs and model quantization on Caltech-256 dataset
  ☆85Updated 8 years ago
• MengTianjian / enas-pytorch
  "Efficient Neural Architecture Search via Parameter Sharing" implementation in PyTorch
  ☆48Updated 6 years ago
• naszilla / nas-encodings
  Encodings for neural architecture search
  ☆29Updated 4 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 6 years ago
• wandering007 / nasnet-pytorch
  A neat pytorch implementation of nasnet and the ported weights from tensorflow
  ☆76Updated 5 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago
• realityengines / local_search
  Local search for NAS
  ☆18Updated 5 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• automl / RobustDARTS
  Understanding and Robustifying DARTS
  ☆157Updated last year