hfutqian / AdaDFQLinks
☆23Updated 10 months ago
Alternatives and similar repositories for AdaDFQ
Users that are interested in AdaDFQ are comparing it to the libraries listed below
Sorting:
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆34Updated last year
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆54Updated 2 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34Updated 2 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆33Updated 3 years ago
- super-resolution; post-training quantization; model compression☆12Updated last year
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆75Updated last year
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆45Updated 11 months ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆96Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆33Updated last year
- 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
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆26Updated last year
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆15Updated 2 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆43Updated 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
- ☆17Updated 3 years ago
- [ECCV 2024] Isomorphic Pruning for Vision Models☆74Updated last year
- ☆47Updated 2 years ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆43Updated 3 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated 2 years ago
- PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)☆73Updated 2 years ago
- Recent Advances on Efficient Vision Transformers☆53Updated 2 years ago
- ☆36Updated 2 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆72Updated 3 years ago
- ☆13Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆58Updated 2 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆44Updated 4 years 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
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆64Updated 4 years ago
- Towards Compact CNNs via Collaborative Compression☆11Updated 3 years ago