ziplab / EcoFormerLinks
[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"
☆72Updated 2 years ago
Alternatives and similar repositories for EcoFormer
Users that are interested in EcoFormer are comparing it to the libraries listed below
Sorting:
- [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…☆76Updated 3 years ago
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆120Updated 3 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆53Updated last year
- [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
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆90Updated last year
- DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)☆31Updated 2 years ago
- (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers☆25Updated 3 months ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆43Updated 3 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated 2 years ago
- Scala(NeurIPS 2024)☆10Updated 6 months ago
- [ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"☆33Updated 3 years ago
- [CVPR 2023] Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference☆30Updated last year
- Code for ViTAS_Vision Transformer Architecture Search☆50Updated 3 years ago
- code for NASViT☆67Updated 3 years ago
- ☆25Updated 3 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆71Updated 2 years ago
- Benchmarking Attention Mechanism in Vision Transformers.☆18Updated 2 years ago
- Transformers w/o Attention, based fully on MLPs☆93Updated last year
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆80Updated last year
- PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)☆73Updated 2 years ago
- ☆57Updated 4 years ago
- Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"☆65Updated 2 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆16Updated 3 years ago
- Official Pytorch implementation of Super Vision Transformer (IJCV)☆43Updated last year
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- ☆24Updated 3 years ago
- ☆16Updated last year
- [Neurips 2022] “ Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropogation”, Ziyu Jiang*, Xuxi Chen*, Xueqin Huan…☆19Updated 2 years ago
- ☆17Updated 2 years ago
- [CVPR 2025] Official PyTorch implementation of MaskSub "Masking meets Supervision: A Strong Learning Alliance"☆42Updated 3 months ago