Ttach Alternatives

Similar projects and alternatives to ttach based on common topics and language

  • albumentations

    ttach VS albumentations

    Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: Paper about the library:

  • DeepLabCut

    ttach VS DeepLabCut

    Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • 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)

  • caer

    ttach VS caer

    High-performance Vision library in Python. Scale your research, not boilerplate.

  • autoalbument

    ttach VS autoalbument

    AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation -

  • PaddleViT

    ttach VS PaddleViT

    :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

  • PixelLib

    ttach VS PixelLib

    Visit PixelLib's official documentation

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better ttach alternative or higher similarity.

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Reviews and mentions

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 | | 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:


Basic ttach repo stats
23 days ago

qubvel/ttach is an open source project licensed under MIT License which is an OSI approved license.

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