Alternatives and similar repositories for CoaT-pytorch:

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

• elis2496 / maxup_implementation
  ☆12Updated 4 years ago
• VRI-UFPR / IDA
  Official code for our SIBGRAPI 2020 paper: "IDA: Improved Data Augmentation Applied to Salient Object Detection"
  ☆14Updated 3 years ago
• Chenglin-Yang / LESA
  Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
  ☆20Updated 3 years ago
• SaynaEbrahimi / Minimax-Active-Learning
  Official implementation for "Minimax Active Learning" in PyTorch.
  ☆9Updated 4 years ago
• Yonghongwei / Advanced-optimizer-with-Gradient-Centralization
  Advanced optimizer with Gradient-Centralization
  ☆21Updated 4 years ago
• leaderj1001 / Bag-of-MLP
  Bag of MLP
  ☆20Updated 3 years ago
• lucidrains / cross-transformers-pytorch
  Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch
  ☆52Updated 4 years ago
• Confusezius / Characterizing_Generalization_in_DeepMetricLearning
  Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
  ☆23Updated 3 years ago
• sayakpaul / Learnable-Image-Resizing
  TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).
  ☆53Updated 3 years ago
• okojoalg / raft-mlp
  ☆25Updated 3 years ago
• nikheelpandey / TAUP-PyTorch
  Task Agnostic Unsupervised Learning
  ☆15Updated 3 years ago
• leftthomas / ProxyAnchor
  A PyTorch implementation of Proxy Anchor Loss based on CVPR 2020 paper "Proxy Anchor Loss for Deep Metric Learning"
  ☆10Updated 4 years ago
• BA-Transform / BAT-Image-Classification
  This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".
  ☆12Updated 4 years ago
• shellysheynin / Locally-SAG-Transformer
  Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"
  ☆15Updated 3 years ago
• bellatong / MEUNet
  ☆10Updated 3 years ago
• huangleiBuaa / StochasticityBW
  PyTorch and Tensorflow implementation for our accepted CVPR 2020 paper (Oral): An Investigation into the Stochasticity of Batch Whitenin…
  ☆10Updated 2 years ago
• jiaozizhao / LiftPool
  ☆20Updated 4 years ago
• VITA-Group / Sandwich-Batch-Normalization
  [WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tian…
  ☆50Updated 3 years ago
• Devin-Taylor / MultiAug
  Multi-modal data augmentation for machine learning
  ☆16Updated 5 years ago
• AlexeyAB / SPVT-Transformer
  ☆13Updated 3 years ago
• VITA-Group / layerGraftedPretraining_ICLR23
  [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…
  ☆24Updated 2 years ago
• sayakpaul / AdaMatch-TF
  Includes additional materials for the following keras.io blog post.
  ☆12Updated 3 years ago
• ZHANG-SHI-CHANG / MnasNet-Pytorch
  MnasNet by Pytorch and NCNN
  ☆9Updated 6 years ago
• blakechi / ComVEX
  Implementations of Recent Papers in Computer Vision
  ☆38Updated 2 years ago
• facebookresearch / dmae_st
  Directed masked autoencoders
  ☆14Updated 2 years ago
• sisl / EvSoftmax
  Code for Paper "Evidential Softmax for Sparse MultimodalDistributions in Deep Generative Models"
  ☆11Updated 3 years ago
• ekurtulus / tied-augment
  Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
  ☆14Updated last year
• ed-fish / data-efficient-video-transformers
  Three experiments for data efficient video transformers.
  ☆9Updated 3 years ago
• JiaxiongQ / SlimConv
  Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)
  ☆18Updated 2 years ago
• jaketae / fnet
  PyTorch implementation of FNet: Mixing Tokens with Fourier transforms
  ☆27Updated 3 years ago