Alternatives and similar repositories for PD-Quant

Users that are interested in PD-Quant are comparing it to the libraries listed below

• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆127Updated 4 months ago
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆106Updated 2 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆237Updated 3 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆79Updated 3 years ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆138Updated 3 years ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 9 months ago
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆79Updated last year
• bytedance / MRECG
  ☆36Updated 2 years ago
• xuke225 / EQ-Net
  EQ-Net [ICCV 2023]
  ☆30Updated 2 years ago
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆37Updated 2 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
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆48Updated last year
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆289Updated 4 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆139Updated 5 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆310Updated last year
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆93Updated 3 years ago
• cvlab-yonsei / EWGS
  An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.
  ☆94Updated 2 years ago
• hustzxd / EfficientPyTorch
  A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
  ☆37Updated 4 years ago
• 1hunters / LIMPQ
  Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
  ☆61Updated 2 years ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆50Updated 2 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 4 years ago
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆65Updated 3 years ago
• lihuantong / HAST
  ☆14Updated 2 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.
  ☆102Updated last year
• ThisisBillhe / BiViT
  The official implementation of BiViT: Extremely Compressed Binary Vision Transformers
  ☆16Updated 2 years ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆359Updated 2 years ago
• ModelTC / mqbench-paper
  ☆45Updated 4 years ago
• kriskrisliu / NoisyQuant
  An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
  ☆26Updated last year
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆36Updated last year
• BillAmihom / RAPQ
  Pytorch implementation of RAPQ, IJCAI 2022
  ☆23Updated 2 years ago