ECoLab-POSTECH / NIPQ

Related projects ⓘ

Alternatives and complementary repositories for NIPQ

• Phuoc-Hoan-Le / BinaryViT
  BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models
  ☆31Updated 9 months ago
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆58Updated last year
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆52Updated last year
• 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 2 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 2 years ago
• ThisisBillhe / BiViT
  The official implementation of BiViT: Extremely Compressed Binary Vision Transformers
  ☆12Updated last year
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆56Updated 2 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆33Updated last year
• WeixiangXu / STTN
  ☆17Updated 2 years ago
• SteveTsui / ReBNN
  ☆13Updated last year
• Qualcomm-AI-research / outlier-free-transformers
  ☆33Updated 11 months ago
• cvlab-yonsei / EWGS
  An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.
  ☆90Updated last year
• Qualcomm-AI-research / BayesianBits
  ☆20Updated 2 years ago
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆34Updated last month
• skmhrk1209 / QuanTorch
  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆54Updated 5 years ago
• jaeho-lee / layer-adaptive-sparsity
  In progress.
  ☆65Updated 7 months ago
• htqin / BiBench
  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…
  ☆54Updated 8 months ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆254Updated 3 years ago
• kriskrisliu / NoisyQuant
  An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
  ☆16Updated 8 months ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆115Updated 2 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆68Updated 2 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆113Updated last year
• iamkanghyunchoi / qimera
  Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]
  ☆30Updated 2 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆191Updated 2 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆124Updated 4 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆276Updated 6 months ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆36Updated 3 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆47Updated 2 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆32Updated last year