Alternatives and similar repositories for mqbench-paper

Users that are interested in mqbench-paper are comparing it to the libraries listed below

• ynahshan / nn-quantization-pytorch
  ☆56Updated 4 years ago
• moranshkolnik / RobustQuantization
  source code of the paper: Robust Quantization: One Model to Rule Them All
  ☆40Updated 2 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆59Updated 4 years ago
• hustzxd / EfficientPyTorch
  A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
  ☆34Updated 3 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago
• aim-uofa / model-quantization
  Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
  ☆42Updated 3 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 3 years ago
• LaVieEnRoseSMZ / AutoBNN
  ☆46Updated 5 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆97Updated 3 years ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆69Updated 3 years ago
• sony-si / ai-research
  ☆47Updated 4 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆122Updated last year
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 years ago
• lmbxmu / 1xN
  Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks
  ☆43Updated 2 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 2 years ago
• bytedance / MRECG
  ☆34Updated 2 years ago
• LaVieEnRoseSMZ / OQA
  ☆28Updated 4 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆35Updated last year
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆56Updated 2 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆273Updated 3 years ago
• deJQK / AdaBits
  ☆39Updated 2 years ago
• zhaohui-yang / Binary-Neural-Networks
  Binary neural networks developed by Huawei Noah's Ark Lab
  ☆29Updated 4 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆134Updated 4 years ago
• ModelTC / NNLQP
  ☆36Updated 2 years ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆34Updated 3 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
• ricky40403 / DSQ
  pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"
  ☆130Updated 5 years ago
• Jzz24 / pytorch_quantization
  A pytorch implementation of dorefa quantization
  ☆113Updated 5 years ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆157Updated 4 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆34Updated 4 years ago