dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN) (by antao97)
ttach
Image Test Time Augmentation with PyTorch! (by qubvel)
dgcnn.pytorch | ttach | |
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1 | 1 | |
656 | 946 | |
- | - | |
10.0 | 0.0 | |
over 1 year ago | 10 months 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.
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.
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.
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Neural Network on Point Clouds
In this project I generate pointclouds from ifc files. Next step is getting dgcnn to run on the dataset to do some segmentation.
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
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 dgcnn.pytorch and ttach you can also consider the following projects:
pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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