Alternatives and similar repositories for ShiftAddNAS

Users that are interested in ShiftAddNAS are comparing it to the libraries listed below

• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆32Updated last year
• ZiweiWangTHU / GMPQ
  This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…
  ☆25Updated 3 years ago
• GATECH-EIC / SuperTickets
  [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
  ☆20Updated 2 years ago
• yukang2017 / NAS-quantization
  The code for Joint Neural Architecture Search and Quantization
  ☆13Updated 6 years ago
• chenbong / PSS-Net
  ☆17Updated 2 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆34Updated 4 years ago
• MAC-AutoML / ITPruner
  ☆24Updated 3 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆32Updated 9 months ago
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆32Updated 2 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
• zyxxmu / LBC
  Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity
  ☆17Updated 2 years ago
• GATECH-EIC / torchshiftadd
  An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.
  ☆13Updated 4 months ago
• xiezheng-cs / DTQ
  PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)
  ☆18Updated 2 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• MingSun-Tse / Why-the-State-of-Pruning-so-Confusing
  [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…
  ☆40Updated 2 years ago
• bohanzhuang / Towards-Effective-Low-bitwidth-Convolutional-Neural-Networks
  This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"
  ☆20Updated 3 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• GATECH-EIC / CPT
  [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…
  ☆31Updated last year
• iamkanghyunchoi / ait
  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
  ☆29Updated 2 years ago
• WeixiangXu / STTN
  ☆17Updated 2 years ago
• z-hXu / ReCU
  Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…
  ☆39Updated 3 years ago
• megvii-research / TPS-CVPR2023
  ☆45Updated last year
• zhaohui-yang / Binary-Neural-Networks
  Binary neural networks developed by Huawei Noah's Ark Lab
  ☆29Updated 4 years ago
• orashi / NSE_NAS
  Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"
  ☆12Updated 3 years ago
• Yu-Zhewen / SVD-NAS
  ☆11Updated 2 years ago
• yuchaoli / CC
  Towards Compact CNNs via Collaborative Compression
  ☆11Updated 3 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆71Updated 4 years ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆26Updated last year
• VITA-Group / UVC
  [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…
  ☆52Updated last year