hustvl / PD-Quant
[CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
☆52Updated last year
Alternatives and similar repositories for PD-Quant:
Users that are interested in PD-Quant are comparing it to the libraries listed below
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆86Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆115Updated last year
- LSQ+ or LSQplus☆63Updated last month
- ☆75Updated 2 years ago
- ☆34Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆121Updated 2 years ago
- EQ-Net [ICCV 2023]☆29Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆41Updated 5 months ago
- Post-Training Quantization for Vision transformers.☆206Updated 2 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆54Updated 11 months ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆39Updated 3 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- ☆21Updated last year
- Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022☆51Updated last year
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆22Updated 11 months ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 6 months ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆34Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- DeiT implementation for Q-ViT☆24Updated 2 years ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆32Updated last year
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆75Updated 9 months ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆31Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆42Updated 3 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆266Updated 3 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Updated 2 years ago