hikvision-research / Unified-NormalizationLinks
# Unified Normalization (ACM MM'22) By Qiming Yang, Kai Zhang, Chaoxiang Lan, Zhi Yang, Zheyang Li, Wenming Tan, Jun Xiao, and Shiliang Pu. This repository is the official implementation of "Unified Normalization for Accelerating and Stabilizing Transformers"
☆34Updated 2 years ago
Alternatives and similar repositories for Unified-Normalization
Users that are interested in Unified-Normalization are comparing it to the libraries listed below
Sorting:
- An object detection codebase based on MegEngine.☆28Updated 2 years ago
- Training LLaMA language model with MMEngine! It supports LoRA fine-tuning!☆41Updated 2 years ago
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆76Updated last year
- ☆13Updated 2 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆72Updated 3 years ago
- PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)☆73Updated 2 years ago
- An implementation of <Group Fisher Pruning for Practical Network Compression> based on pytorch and mmcv☆18Updated 3 years ago
- A codebase & model zoo for pretrained backbone based on MegEngine.☆33Updated 2 years ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆74Updated 2 years ago
- IntLLaMA: A fast and light quantization solution for LLaMA☆18Updated 2 years ago
- https://hyperbox-doc.readthedocs.io/en/latest/☆25Updated 2 years ago
- TVMScript kernel for deformable attention☆25Updated 3 years ago
- MegEngine到其他框架的转换器☆70Updated 2 years ago
- Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML 2024)☆30Updated last year
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆35Updated 3 years ago
- ☆22Updated 3 years ago
- [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
- Page for the CVPR 2023 Tutorial - Efficient Neural Networks: From Algorithm Design to Practical Mobile Deployments☆12Updated 2 years ago
- Code for RepNAS☆13Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆34Updated last year
- Slides with modifications for a course at Tsinghua University.☆62Updated 3 years ago
- ☆36Updated 2 years ago
- Official implementation for paper "DyRep: Bootstrapping Training with Dynamic Re-parameterization", CVPR 2022☆43Updated 3 years ago
- MegEngine implementation of Diffusion Models.☆18Updated 3 years ago
- ☆23Updated last year
- PyTorch Quantization Aware Training Example☆143Updated last year
- ☆61Updated last year
- ☆19Updated 4 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆41Updated 3 years ago
- ☆17Updated 3 years ago