Alternatives and similar repositories for NIPQ

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

• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆73Updated 8 months ago
• Phuoc-Hoan-Le / BinaryViT
  BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models
  ☆37Updated last year
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆133Updated 3 years ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 5 months ago
• SteveTsui / ReBNN
  ☆12Updated last year
• ThisisBillhe / BiViT
  The official implementation of BiViT: Extremely Compressed Binary Vision Transformers
  ☆15Updated 2 years ago
• cvlab-yonsei / EWGS
  An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.
  ☆93Updated 2 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆228Updated 3 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 3 years ago
• kriskrisliu / NoisyQuant
  An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
  ☆25Updated last year
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆58Updated 2 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
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆137Updated 4 years ago
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆64Updated 3 years ago
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆98Updated 2 years ago
• skmhrk1209 / QuanTorch
  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆57Updated 6 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆284Updated 4 years ago
• 42Shawn / CMIM
  The code for the Network Binarization via Contrastive Learning, which has been accepted to ECCV 2022.
  ☆14Updated 3 years ago
• hustzxd / EfficientPyTorch
  A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
  ☆37Updated 3 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆302Updated last year
• Qualcomm-AI-research / outlier-free-transformers
  ☆45Updated last year
• WeixiangXu / STTN
  ☆17Updated 2 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆35Updated 2 years ago
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆32Updated 2 years ago
• tinganchen / AlignQ
  [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation
  ☆11Updated 2 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 3 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆205Updated 3 years ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆277Updated 10 months ago
• DravenALG / ReSTE
  (ICCV 2023) Official implementation of Rectified Straight Through Estimator (ReSTE).
  ☆29Updated last year
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆124Updated 3 weeks ago