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 2 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆49Updated 5 years ago
• antoyang / NAS-Benchmark
  [ICLR 2020] NAS evaluation is frustratingly hard
  ☆149Updated last year
• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆112Updated 7 years ago
• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆113Updated 4 years ago
• csyhhu / L-OBS
  Codes for Layer-wise Optimal Brain Surgeon
  ☆78Updated 6 years ago
• automl / nasbench-1shot1
  ☆67Updated 4 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆45Updated 4 years ago
• linnanwang / AlphaX-NASBench101
  Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search
  ☆169Updated 4 years ago
• MetaAnonym / RobustDARTS
  ☆40Updated 5 years ago
• shirakawas / ASNG-NAS
  Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
  ☆89Updated 6 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 6 years ago
• titu1994 / progressive-neural-architecture-search
  Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
  ☆118Updated 6 years ago
• naszilla / nas-encodings
  Encodings for neural architecture search
  ☆29Updated 4 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆169Updated 6 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆55Updated 5 years ago
• xiangning-chen / SmoothDARTS
  Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"
  ☆76Updated 4 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆18Updated 6 years ago
• tanglang96 / DDPNAS
  Dynamic Distribution Pruning for Efficient Network Architecture Search
  ☆48Updated 6 years ago
• anubhavashok / N2N
  ☆55Updated 6 years ago
• automl / RobustDARTS
  Understanding and Robustifying DARTS
  ☆155Updated last year
• yuhuixu1993 / WLQ
  caffe implementation of single level quantization
  ☆19Updated 6 years ago
• wenwei202 / autogrow
  AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)
  ☆39Updated 6 years ago
• automl / nas_benchmarks
  ☆96Updated 6 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• yeshaokai / Robustness-Aware-Pruning-ADMM
  Code release for "Adversarial Robustness vs Model Compression, or Both?"
  ☆91Updated 4 years ago
• XinDongol / DNNAC
  All about acceleration and compression of Deep Neural Networks
  ☆33Updated 5 years ago
• wanglouis49 / pytorch-weights_pruning
  PyTorch Implementation of Weights Pruning
  ☆184Updated 7 years ago
• SNAS-Series / SNAS-Series
  This repo contains the PyTorch implementation of the SNAS-Series papers
  ☆149Updated 4 years ago