Alternatives and similar repositories for BiViT

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

• Phuoc-Hoan-Le / BinaryViT
  BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models
  ☆37Updated last year
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆96Updated 2 years ago
• bohanzhuang / Group-Net-image-classification
  Structured Binary Neural Networks for Image Recognition
  ☆18Updated 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
• 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
  ☆27Updated 4 months ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆24Updated 4 months ago
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆71Updated 6 months ago
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆33Updated last year
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆45Updated 11 months ago
• DravenALG / ReSTE
  (ICCV 2023) Official implementation of Rectified Straight Through Estimator (ReSTE).
  ☆29Updated 11 months ago
• 42Shawn / CMIM
  The code for the Network Binarization via Contrastive Learning, which has been accepted to ECCV 2022.
  ☆14Updated 3 years ago
• htqin / BiBench
  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…
  ☆56Updated last year
• Ruichen0424 / AB-BNN
  [CVPR 2024] Offical implementation for A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network
  ☆25Updated 8 months ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆58Updated 2 years ago
• hpi-xnor / BNext
  Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket
  ☆70Updated 2 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆124Updated 2 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 3 years ago
• xuke225 / EQ-Net
  EQ-Net [ICCV 2023]
  ☆30Updated 2 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆224Updated 3 years ago
• Kai-Liu001 / Awesome-Model-Quantization
  ☆46Updated 3 months ago
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆64Updated 3 years ago
• cvlab-yonsei / EWGS
  An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.
  ☆93Updated 2 years ago
• GoatWu / AdaLog
  [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
  ☆30Updated 8 months ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆137Updated 4 years ago
• DD-DuDa / awesome-vit-quantization-acceleration
  List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.
  ☆94Updated last year
• tinganchen / AlignQ
  [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation
  ☆11Updated 2 years ago
• huqinghao / PalQuant
  ☆12Updated 3 years ago
• WeixiangXu / STTN
  ☆17Updated 2 years ago
• hustzxd / EfficientPyTorch
  A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
  ☆37Updated 3 years ago