zkkli / I-ViTLinks
[ICCV 2023] I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
☆182Updated 10 months ago
Alternatives and similar repositories for I-ViT
Users that are interested in I-ViT are comparing it to the libraries listed below
Sorting:
- [ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers☆129Updated last year
- [PR 2024] HTQ: Exploring the High-Dimensional Trade-Off of Mixed-Precision Quantization☆12Updated last year
- [ECCV 2022] Patch Similarity Aware Data-Free Quantization for Vision Transformers☆122Updated 2 years ago
- Post-Training Quantization for Vision transformers.☆221Updated 3 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆96Updated 2 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆92Updated last year
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆344Updated 2 years ago
- DeiT implementation for Q-ViT☆25Updated 2 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆56Updated 2 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆298Updated last year
- LSQ+ or LSQplus☆69Updated 5 months ago
- Pytorch implementation of BRECQ, ICLR 2021☆277Updated 3 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆122Updated 2 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
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆45Updated 9 months ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆133Updated 3 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆56Updated 5 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆135Updated 4 years ago
- [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers☆23Updated 3 months ago
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket☆70Updated 2 years ago
- EQ-Net [ICCV 2023]☆29Updated last year
- Reproducing Quantization paper PACT☆64Updated 3 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆33Updated last year
- ☆237Updated 2 years ago
- ☆76Updated 2 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆442Updated 2 years ago
- ☆206Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- [CVPR 2024] PTQ4SAM: Post-Training Quantization for Segment Anything☆78Updated last year
- [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design☆109Updated 2 years ago