Alternatives and similar repositories for LIMPQ

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

• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆78Updated 3 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 4 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
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆60Updated 2 years ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆28Updated 2 years ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆70Updated 3 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 4 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆36Updated last year
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆64Updated 3 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆93Updated 3 years ago
• WeixiangXu / STTN
  ☆17Updated 3 years ago
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆30Updated 2 years ago
• yaozhewei / HAP
  ☆43Updated last year
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆58Updated 2 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆127Updated 3 months ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 8 months ago
• hustzxd / ZeroQ-MP
  [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework
  ☆14Updated 5 years ago
• ziplab / QTool
  Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
  ☆73Updated 4 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆42Updated 5 years ago
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆46Updated last year
• Qualcomm-AI-research / pruning-vs-quantization
  ☆25Updated last year
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆35Updated 4 years ago
• BillAmihom / RAPQ
  Pytorch implementation of RAPQ, IJCAI 2022
  ☆23Updated 2 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆74Updated 5 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆98Updated 4 years ago
• xuke225 / EQ-Net
  EQ-Net [ICCV 2023]
  ☆30Updated 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
• iamkanghyunchoi / ait
  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
  ☆29Updated 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