NVlabs / NViTLinks
☆26Updated 2 years ago
Alternatives and similar repositories for NViT
Users that are interested in NViT are comparing it to the libraries listed below
Sorting:
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆102Updated 2 years ago
- ☆13Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- EQ-Net [ICCV 2023]☆30Updated 2 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Updated 3 years ago
- ☆12Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Updated 2 years ago
- Awesome Pruning. ✅ Curated Resources for Neural Network Pruning.☆173Updated last year
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆15Updated 3 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆61Updated 2 years ago
- ☆12Updated 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
- ☆20Updated 3 years ago
- [NeurIPS 2022] “M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design”, Hanxue …☆132Updated 3 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆136Updated 3 years ago
- ☆53Updated last year
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆28Updated 2 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆55Updated 2 years ago
- DeiT implementation for Q-ViT☆25Updated 7 months ago
- [ECCV 2024] Isomorphic Pruning for Vision Models☆77Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Updated 2 years ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated 2 years ago
- Post-Training Quantization for Vision transformers.☆234Updated 3 years ago
- ☆78Updated 3 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆14Updated 2 years ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆38Updated last year
- ☆48Updated 2 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆97Updated last year
- [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer☆37Updated last year
- ☆27Updated 3 years ago