zkkli / I-ViT
[ICCV 2023] I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
☆167Updated 7 months ago
Alternatives and similar repositories for I-ViT:
Users that are interested in I-ViT are comparing it to the libraries listed below
- [ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers☆124Updated last year
- [PR 2024] HTQ: Exploring the High-Dimensional Trade-Off of Mixed-Precision Quantization☆12Updated 8 months ago
- [ECCV 2022] Patch Similarity Aware Data-Free Quantization for Vision Transformers☆122Updated 2 years ago
- Post-Training Quantization for Vision transformers.☆211Updated 2 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆87Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆53Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆43Updated 6 months ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆78Updated 10 months ago
- LSQ+ or LSQplus☆64Updated 2 months ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆119Updated last year
- DeiT implementation for Q-ViT☆24Updated 2 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- EQ-Net [ICCV 2023]☆29Updated last year
- ☆76Updated 2 years ago
- [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory☆67Updated last year
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆290Updated 10 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆42Updated 2 years ago
- TVM Relay IR Visualization Tool (TVM 可视化工具)☆61Updated last month
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆13Updated 4 years ago
- FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch☆33Updated 3 years ago
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆22Updated last year
- [ICML 2022 Spotlight] Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks☆11Updated last year
- ☆12Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆270Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022☆53Updated 2 years ago
- ☆34Updated 2 years ago
- [NeurIPS2022] Deep Model Reassembly☆253Updated last year