zhexinli / Q-ViT-DeiTLinks
DeiT implementation for Q-ViT
☆25Updated last month
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 8 months ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆89Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆56Updated 2 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- LSQ+ or LSQplus☆69Updated 4 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
- Neural Network Quantization With Fractional Bit-widths☆12Updated 4 years ago
- ☆18Updated 3 years ago
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆26Updated 2 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
- ☆76Updated 2 years ago
- 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
- EQ-Net [ICCV 2023]☆29Updated last year
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers☆21Updated 2 months ago
- ☆15Updated 2 years ago
- ☆22Updated last year
- A collection of research papers on efficient training of DNNs☆70Updated 2 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆54Updated 2 years ago
- This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!☆15Updated 9 months ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆92Updated last year
- ViTALiTy (HPCA'23) Code Repository☆22Updated 2 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆19Updated 3 months ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated last year
- [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation☆11Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆32Updated 9 months ago