Qualcomm-AI-research / pruning-vs-quantizationLinks
☆24Updated last year
Alternatives and similar repositories for pruning-vs-quantization
Users that are interested in pruning-vs-quantization are comparing it to the libraries listed below
Sorting:
- ☆76Updated 3 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆58Updated 2 years ago
- DeiT implementation for Q-ViT☆24Updated 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
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆124Updated 2 years ago
- ☆158Updated 2 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆95Updated last year
- Post-Training Quantization for Vision transformers.☆225Updated 3 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- EQ-Net [ICCV 2023]☆30Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- ☆19Updated 3 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆133Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated 11 months ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆58Updated 2 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆96Updated 2 years ago
- LSQ+ or LSQplus☆73Updated 7 months ago
- ☆240Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆99Updated 4 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆33Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".