lihuantong / HAST
☆10Updated last year
Alternatives and similar repositories for HAST:
Users that are interested in HAST are comparing it to the libraries listed below
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆31Updated 3 years ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆14Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆115Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- EQ-Net [ICCV 2023]☆29Updated last year
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆31Updated 3 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Updated 2 years ago
- Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"☆12Updated last year
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆53Updated last year
- The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…☆37Updated 2 years ago
- In progress.☆63Updated 11 months ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆38Updated 3 years ago
- ☆75Updated 2 years ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆14Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 6 months ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆32Updated last year
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 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 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆32Updated last year
- Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022☆53Updated last year
- ☆15Updated 5 months ago
- [NeurIPS 2024] Search for Efficient LLMs☆12Updated last month
- Official Implementation of "Genie: Show Me the Data for Quantization" (CVPR 2023)☆17Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆88Updated last year
- ☆25Updated 3 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆73Updated 2 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆24Updated 4 years ago