Alternatives and similar repositories for Transformer-Quantization

Users that are interested in Transformer-Quantization are comparing it to the libraries listed below

• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 2 months ago
• DD-DuDa / awesome-vit-quantization-acceleration
  List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.
  ☆92Updated last year
• xuke225 / EQ-Net
  EQ-Net [ICCV 2023]
  ☆29Updated last year
• DravenALG / ReSTE
  (ICCV 2023) Official implementation of Rectified Straight Through Estimator (ReSTE).
  ☆28Updated 9 months ago
• Mohamed-Imed-Eddine / Harmonic-NAS
  Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices (ACML 2023)
  ☆14Updated last year
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆221Updated 2 years ago
• aojunzz / DominoSearch
  ☆19Updated 3 years ago
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆96Updated 2 years ago
• Kelvinyu1117 / LSQ-implementation
  This is an unofficial implementation of the paper - LEARNED STEP SIZE QUANTIZATION at ICLR 2020
  ☆8Updated 4 years ago
• jeffreyyu0602 / quantized-training
  ☆29Updated this week
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆122Updated 2 years ago
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆64Updated 3 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆298Updated last year
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• lihuantong / HAST
  ☆12Updated last year
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆33Updated last year
• MXHX7199 / ICCV_2021_AFP
  AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.
  ☆13Updated 3 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
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆69Updated 5 months ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆344Updated 2 years ago
• GATECH-EIC / ViTCoD
  [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆109Updated 2 years ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆133Updated 3 years ago
• GoatWu / APHQ-ViT
  [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers
  ☆23Updated 3 months ago
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆45Updated 9 months ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆56Updated 2 years ago
• Ther-nullptr / circult-eda-mlsys-tinyml-arxiv-daily
  🎓Automatically Update circult-eda-mlsys-tinyml Papers Daily using Github Actions (Update Every 8th hours)
  ☆10Updated this week
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆135Updated 4 years ago
• tinganchen / AlignQ
  [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation
  ☆11Updated 2 years ago
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆12Updated 4 years ago
• CASR-HKU / MSD-FCCM23
  Open-source of MSD framework
  ☆16Updated last year