ttach
autoalbument
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ttach | autoalbument | |
---|---|---|
1 | 1 | |
943 | 195 | |
- | 2.6% | |
0.0 | 0.0 | |
9 months ago | over 2 years ago | |
Python | Python | |
MIT License | MIT License |
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ttach
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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:
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.
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
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)
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
deepsegment - A sentence segmenter that actually works!
imgaug - Image augmentation for machine learning experiments.
pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.
autovideo - AutoVideo: An Automated Video Action Recognition System
DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code