PaddleViT VS ttach

Compare PaddleViT vs ttach and see what are their differences.

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PaddleViT ttach
2 1
1,169 943
- -
0.0 0.0
over 1 year ago 9 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

PaddleViT

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

ttach

Posts with mentions or reviews of ttach. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-09.
  • Setting up Google Colab for Deep Learning
    2 projects | dev.to | 9 Jun 2021
    While Colab usually comes pre-installed with most of the basic dependencies like Tensorflow, PyTorch, scikit-learn, pandas and many more, there are chances that you have to install external packages at times. You can do that using the !pip install command. For example we can install the ttach library which is used for augmentation of images during test phase. This can be done using:

What are some alternatives?

When comparing PaddleViT and ttach 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

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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.

TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

SINet - Camouflaged Object Detection, CVPR 2020 (Oral)

deepsegment - A sentence segmenter that actually works!

PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 - Simplified Pytorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10.

pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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