ttach VS dgcnn.pytorch

Compare ttach vs dgcnn.pytorch 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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dgcnn.pytorch

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN) (by antao97)
point-cloud Classification Segmentation Pytorch

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ttach dgcnn.pytorch
1 1
944 656
- -
0.0 10.0
9 months ago over 1 year ago
Python Python
MIT License 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.

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:

dgcnn.pytorch

Posts with mentions or reviews of dgcnn.pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-08.

What are some alternatives?

When comparing ttach and dgcnn.pytorch 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

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

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)

pointnet - PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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

ifcclouds - convert ifc files to pointclouds

deepsegment - A sentence segmenter that actually works!

Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

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

ttach vs albumentations dgcnn.pytorch vs pointnet2 ttach vs TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch dgcnn.pytorch vs pointnet ttach vs autoalbument dgcnn.pytorch vs ifcclouds ttach vs deepsegment dgcnn.pytorch vs Pointnet_Pointnet2_pytorch ttach vs pointnet2 dgcnn.pytorch vs mmrazor ttach vs mmrazor dgcnn.pytorch vs ml-cvnets