Alternatives and similar repositories for pytorch-BigNAS

Users that are interested in pytorch-BigNAS are comparing it to the libraries listed below

• AberHu / TF-NAS
  TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)
  ☆76Updated 4 years ago
• MAC-AutoML / XNAS
  XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.
  ☆49Updated 3 years ago
• facebookresearch / AttentiveNAS
  code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
  ☆104Updated 3 years ago
• zhaohui-yang / Binary-Neural-Networks
  Binary neural networks developed by Huawei Noah's Ark Lab
  ☆29Updated 4 years ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆158Updated 5 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 5 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆44Updated 2 years ago
• megvii-model / AngleNAS
  ☆54Updated 5 years ago
• ChaofanTao / FAT_Quantization
  Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation
  ☆27Updated 4 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆59Updated 4 years ago
• changlin31 / DS-Net
  (CVPR 2021, Oral) Dynamic Slimmable Network
  ☆229Updated 3 years ago
• changlin31 / BossNAS
  (ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
  ☆140Updated 3 years ago
• facebookresearch / NASViT
  code for NASViT
  ☆66Updated 3 years ago
• xushoukai / GDFQ
  official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)
  ☆54Updated last year
• lmbxmu / ABCPruner
  Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search
  ☆145Updated 4 years ago
• ricky40403 / DSQ
  pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"
  ☆131Updated 5 years ago
• LaVieEnRoseSMZ / AutoBNN
  ☆46Updated 5 years ago
• megvii-model / SinglePathOneShot
  ☆263Updated 5 years ago
• chenbong / PSS-Net
  ☆17Updated 3 years ago
• deJQK / AdaBits
  ☆39Updated 2 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago
• cvlab-yonsei / EWGS
  An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.
  ☆93Updated 2 years ago
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆60Updated 4 years ago
• meijieru / AtomNAS
  [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
  ☆222Updated 5 years ago
• xiangning-chen / SmoothDARTS
  Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"
  ☆76Updated 4 years ago
• Meituan-AutoML / DARTS-
  Code for "DARTS-: Robustly Stepping out of Performance Collapse Without Indicators"
  ☆57Updated 4 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆65Updated 3 years ago
• MAC-AutoML / PCL_AutoML_System
  ☆10Updated 3 years ago
• DingXiaoH / AOFP
  Codes of Approximated Oracle Filter Pruning
  ☆32Updated 2 years ago
• chenyaofo / CTNAS
  [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators
  ☆41Updated 3 years ago