Alternatives and similar repositories for RepLKNet-pytorch

Users that are interested in RepLKNet-pytorch are comparing it to the libraries listed below

• microsoft / CSWin-Transformer
  CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022
  ☆569Updated last year
• MegEngine / RepLKNet
  Official MegEngine implementation of RepLKNet
  ☆276Updated 3 years ago
• Meituan-AutoML / Twins
  Two simple and effective designs of vision transformer, which is on par with the Swin transformer
  ☆601Updated 2 years ago
• whai362 / PVT
  Official implementation of PVT series
  ☆1,815Updated 2 years ago
• sail-sg / poolformer
  PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
  ☆1,333Updated last year
• berniwal / swin-transformer-pytorch
  Implementation of the Swin Transformer in PyTorch.
  ☆830Updated 4 years ago
• raoyongming / HorNet
  [NeurIPS 2022] HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
  ☆336Updated last year
• LeapLabTHU / DAT
  Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Atte…
  ☆870Updated last year
• microsoft / SimMIM
  This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
  ☆976Updated 2 years ago
• Visual-Attention-Network / SegNeXt
  Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)
  ☆831Updated 2 years ago
• yitu-opensource / T2T-ViT
  ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
  ☆1,188Updated last year
• sail-sg / metaformer
  MetaFormer Baselines for Vision (TPAMI 2024)
  ☆467Updated last year
• LeapLabTHU / ACmix
  Official repository of ACmix (CVPR2022)
  ☆415Updated 3 years ago
• snap-research / EfficientFormer
  EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
  ☆1,049Updated last year
• Sense-X / UniFormer
  [ICLR2022] official implementation of UniFormer
  ☆866Updated last year
• hkzhang-git / ParC-Net
  [ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"
  ☆353Updated 2 years ago
• raoyongming / GFNet
  [NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification
  ☆477Updated last year
• facebookresearch / ConvNeXt-V2
  Code release for ConvNeXt V2 model
  ☆1,747Updated 9 months ago
• wofmanaf / ResT
  This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".
  ☆285Updated 2 years ago
• dingmyu / davit
  [ECCV 2022]Code for paper "DaViT: Dual Attention Vision Transformer"
  ☆357Updated last year
• open-mmlab / awesome-vit
  ☆427Updated 3 years ago
• chinhsuanwu / mobilevit-pytorch
  A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer"
  ☆533Updated 3 years ago
• microsoft / CvT
  This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
  ☆577Updated 2 years ago
• facebookresearch / LeViT
  LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference
  ☆612Updated 2 years ago
• d-li14 / involution
  [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
  ☆1,309Updated 3 years ago
• VITA-Group / SLaK
  [ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers…
  ☆271Updated last year
• Alpha-VL / ConvMAE
  ConvMAE: Masked Convolution Meets Masked Autoencoders
  ☆506Updated 2 years ago
• raoyongming / DynamicViT
  [NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
  ☆608Updated last year
• microsoft / Focal-Transformer
  [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
  ☆556Updated 3 years ago
• JierunChen / FasterNet
  [CVPR 2023] Code for PConv and FasterNet
  ☆757Updated 2 years ago