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1. CF-ViT CF-ViT Public

   Pytorch implementation of "CF-ViT: A General Coarse-to-Fine Method for Vision Transformer"

   Python 101 7

2. lmbxmu/SuperViT lmbxmu/SuperViT Public

   Official Pytorch implementation of Super Vision Transformer (IJCV)

   Python 41 8

3. OpenGVLab/DiffRate OpenGVLab/DiffRate Public

   [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging techniques, while incorporating a differentiable compression rate.

   Jupyter Notebook 82 7

4. OpenGVLab/OmniQuant OpenGVLab/OmniQuant Public

   [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.

   Python 640 50

5. OpenGVLab/EfficientQAT OpenGVLab/EfficientQAT Public

   EfficientQAT: Efficient Quantization-Aware Training for Large Language Models

   Python 124 10

6. SMMix SMMix Public

   [ICCV 23]This is a Pytorch implementation of our paper "SMMix: Self-Motivated Image Mixing for Vision Transformers"

   Python 16 1