deepsegment
ttach
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deepsegment | ttach | |
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1 | 1 | |
228 | 943 | |
- | - | |
0.7 | 0.0 | |
over 3 years ago | 9 months ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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deepsegment
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[D] What is currently the best SENTENCE level tokenizer ?
A bit model heavy but works pretty great https://github.com/notAI-tech/deepsegment
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:
What are some alternatives?
nlp-recipes - Natural Language Processing Best Practices & Examples
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
punctuator2 - A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
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)
vocal-remover - Vocal Remover using Deep Neural Networks
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
AutoDash - Want to type an Em Dash—now you can. Just type "--".
pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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