zhexinli / Q-ViT-DeiTLinks
DeiT implementation for Q-ViT
☆25Updated 8 months ago
Alternatives and similar repositories for Q-ViT-DeiT
Users that are interested in Q-ViT-DeiT are comparing it to the libraries listed below
Sorting:
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- ☆78Updated 3 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆102Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆35Updated 2 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆126Updated 3 months ago
- LSQ+ or LSQplus☆77Updated 11 months ago
- EQ-Net [ICCV 2023]☆30Updated 2 years ago
- Post-Training Quantization for Vision transformers.☆236Updated 3 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Updated 2 years ago
- Reproducing Quantization paper PACT☆64Updated 3 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆42Updated 4 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆136Updated 3 years ago
- ☆25Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Updated 2 years ago
- BitSplit Post-trining Quantization☆50Updated 4 years ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated 2 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆98Updated last year
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Updated 5 years ago
- ☆19Updated 4 years ago
- [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers☆33Updated 8 months ago
- Neural Network Quantization With Fractional Bit-widths☆11Updated 4 years ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆38Updated last year
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆61Updated 2 years ago
- Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"☆12Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆36Updated last year
- Structured Binary Neural Networks for Image Recognition☆18Updated 4 years ago
- A collection of research papers on efficient training of DNNs☆70Updated 3 years ago