zysxmu / FDDA
Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization
☆14Updated 2 years ago
Alternatives and similar repositories for FDDA:
Users that are interested in FDDA are comparing it to the libraries listed below
- super-resolution; post-training quantization; model compression☆11Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 6 months ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆31Updated 2 years ago
- ☆10Updated last year
- ☆25Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆41Updated 4 months 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
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆13Updated last year
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆32Updated last year
- [NeurIPS 2024] Search for Efficient LLMs☆12Updated last month
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"☆11Updated last year
- ☆13Updated 8 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- ☆16Updated 2 years ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆16Updated last year
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆53Updated last year
- ☆17Updated 2 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆30Updated 2 years ago
- ☆23Updated 3 years ago
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- EQ-Net [ICCV 2023]☆27Updated last year
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- ☆34Updated last year
- ☆21Updated 3 months ago
- BitSplit Post-trining Quantization☆48Updated 3 years ago