zhexinli / Q-ViT-DeiT
DeiT implementation for Q-ViT
☆24Updated 3 weeks 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…☆44Updated 7 months ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar …☆56Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆88Updated 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
- Neural Network Quantization With Fractional Bit-widths☆12Updated 4 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- LSQ+ or LSQplus☆68Updated 3 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆55Updated 2 years ago
- ☆76Updated 2 years ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆35Updated last year
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated last year
- EQ-Net [ICCV 2023]☆29Updated last year
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- ☆18Updated 3 years ago
- A collection of research papers on efficient training of DNNs☆70Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆31Updated 8 months ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆54Updated 2 years ago
- ☆12Updated last year
- Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity☆17Updated 2 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆89Updated 11 months ago
- Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"☆12Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- ☆25Updated 3 years ago
- Reproducing Quantization paper PACT☆64Updated 2 years ago
- Rethinking Data-Free Quantization as a Zero-Sum Game☆9Updated 6 months ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago