PaddleViT VS PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10

Compare PaddleViT vs PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 and see what are their differences.

PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+ (by BR-IDL)
Cv Computer Vision Paddlepaddle vit mlp Transformer encoder-decoder Classification Detection Segmentation Gan Deep Learning semantic-segmentation object-detection
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PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10

Simplified Pytorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10. (by s-chh)
vision-transformer vit Transformer vit-mnist transformer-mnist pytorch-vit Scratch Simple vit-scratch vit-fashionmnist vit-svhn transformer-cifar10 vit-cifar vit-cifar10 vit-simple
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PaddleViT PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10
2 2
1,169 59
- -
0.0 8.8
over 1 year ago 12 days ago
Python Python
Apache License 2.0 -
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PaddleViT

Posts with mentions or reviews of PaddleViT. We have used some of these posts to build our list of alternatives and similar projects.

PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10

Posts with mentions or reviews of PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-13.
  • Scratch Implementation of Vision Transformer in PyTorch
    2 projects | /r/computervision | 13 Apr 2023
    In the encoder class, ViTs use prenorm not post-norm like BERT. That is the first norm layer should be before the attention and the second norm layer should be before "self.fc1" https://github.com/s-chh/PyTorch-Vision-Transformer-ViT-MNIST/blob/main/model.py

What are some alternatives?

When comparing PaddleViT and PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 you can also consider the following projects:

FastestDet - :zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

SINet - Camouflaged Object Detection, CVPR 2020 (Oral)

mmdetection - OpenMMLab Detection Toolbox and Benchmark

ttach - Image Test Time Augmentation with PyTorch!

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

ml-cvnets - CVNets: A library for training computer vision networks

sigmarsgarden - Opus Magnum's Sigmar's Garden Autosolver, using OpenCV Template Matching

PaddleViT vs FastestDet PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 vs SwinIR PaddleViT vs medicaldetectiontoolkit PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 vs towhee PaddleViT vs mmrazor PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 vs Efficient-AI-Backbones PaddleViT vs SINet PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 vs mmdetection PaddleViT vs ttach PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 vs LaTeX-OCR PaddleViT vs ml-cvnets PaddleViT vs sigmarsgarden