ttach VS deepsegment

Compare ttach vs deepsegment and see what are their differences.

ttach

Image Test Time Augmentation with PyTorch! (by qubvel)
Augmentation Deep Learning test-time-augmentation tta tta-wrapper Pytorch Computer Vision Classification Segmentation keypoint-detection
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deepsegment

A sentence segmenter that actually works! (by notAI-tech)
NLP Segmentation Text text-segmentation Deep Learning sentence-segmenter punctuation

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ttach deepsegment
1 1
943 228
- -
0.0 0.7
9 months ago over 3 years ago
Python Python
MIT License GNU General Public License v3.0 only
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.

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:

deepsegment

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

What are some alternatives?

When comparing ttach and deepsegment you can also consider the following projects:

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

nlp-recipes - Natural Language Processing Best Practices & Examples

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)

punctuator2 - A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

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

vocal-remover - Vocal Remover using Deep Neural Networks

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

AutoDash - Want to type an Em Dash—now you can. Just type "--".

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

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

dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

ttach vs albumentations deepsegment vs nlp-recipes ttach vs TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch deepsegment vs punctuator2 ttach vs autoalbument deepsegment vs vocal-remover ttach vs pointnet2 deepsegment vs AutoDash ttach vs mmrazor ttach vs DeepLabCut ttach vs dgcnn.pytorch ttach vs Robo-Semantic-Segmentation