Alternatives and similar repositories for SAViT

Users that are interested in SAViT are comparing it to the libraries listed below

• megvii-research / TPS-CVPR2023
  ☆45Updated last year
• OpenGVLab / DiffRate
  [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…
  ☆96Updated last year
• xjwu1024 / PPT
  The codebase for paper "PPT: Token Pruning and Pooling for Efficient Vision Transformer"
  ☆23Updated 7 months ago
• Daner-Wang / VTC-LFC
  ☆27Updated 2 years ago
• VITA-Group / UVC
  [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…
  ☆53Updated last year
• NVlabs / NViT
  ☆21Updated last year
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆93Updated 2 years ago
• zyxxmu / White-Box
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box
  ☆18Updated 3 years ago
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆31Updated last year
• jaeho-lee / layer-adaptive-sparsity
  In progress.
  ☆64Updated last year
• zysxmu / FDDA
  Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization
  ☆15Updated 2 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆56Updated 2 years ago
• lliai / DisWOT-CVPR2023
  ☆26Updated last year
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆31Updated last year
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆33Updated 2 years ago
• zysxmu / IntraQ
  Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…
  ☆33Updated 3 years ago
• Phuoc-Hoan-Le / BinaryViT
  BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models
  ☆37Updated last year
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆45Updated 8 months ago
• PeiyanFlying / SPViT
  ☆50Updated 9 months ago
• zysxmu / DFSQ
  super-resolution; post-training quantization; model compression
  ☆12Updated last year
• andyrull / width-and-Depth-pruning-for-Vision-Transformer
  ☆19Updated 3 years ago
• ZiweiWangTHU / GMPQ
  This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…
  ☆25Updated 3 years ago
• iamkanghyunchoi / ait
  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
  ☆29Updated 2 years ago
• shawnricecake / search-llm
  [NeurIPS 2024] Search for Efficient LLMs
  ☆14Updated 5 months ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆26Updated last year
• VITA-Group / BackRazor_Neurips22
  [Neurips 2022] “ Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropogation”, Ziyu Jiang*, Xuxi Chen*, Xueqin Huan…
  ☆19Updated 2 years ago
• htqin / BiBench
  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…
  ☆56Updated last year
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆33Updated 10 months ago
• selkerdawy / FTWT
  Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction
  ☆11Updated 3 years ago