autoalbument
autovideo
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autoalbument | autovideo | |
---|---|---|
1 | 2 | |
195 | 310 | |
2.6% | 1.6% | |
0.0 | 4.9 | |
over 2 years ago | 10 months ago | |
Python | Python | |
MIT License | MIT License |
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.
autoalbument
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[P] Albumentations 1.0 is released (a Python library for image augmentation)
We started to implement differentiable augmentations as a part of AutoAlbument (a tool that automatically searches for the best augmentation policies for your data) - https://github.com/albumentations-team/autoalbument, it is more a research project.
autovideo
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AutoVideo: An Automated Video Action Recognition System
Code for https://arxiv.org/abs/2108.04212 found: https://github.com/datamllab/autovideo
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DATA Lab at Texas A&M University presents AutoVideo: An Automated Video Action Recognition System
GitHub: https://github.com/datamllab/autovideo
What are some alternatives?
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
MoViNet-pytorch - MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
autokeras - AutoML library for deep learning
imgaug - Image augmentation for machine learning experiments.
ttach - Image Test Time Augmentation with PyTorch!
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code