FrancescoSaverioZuppichini/glasses
A PyTorch computer vision library providing pretrained neural network architectures for image classification and segmentation tasks.
Not currently ranked — collecting fresh signals.
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This repository is a deep learning computer vision library that implements a wide range of neural network architectures including Vision Transformers, EfficientNet, ResNeSt, DenseNet, MobileNet, and others. It offers pretrained models hosted on Hugging Face Hub for immediate use in classification and segmentation tasks. The library emphasizes readable, maintainable code with shared components and consistent APIs across all implemented models.
Frequently asked
- What is FrancescoSaverioZuppichini/glasses?
- A PyTorch computer vision library providing pretrained neural network architectures for image classification and segmentation tasks.
- Is glasses open source?
- Yes — FrancescoSaverioZuppichini/glasses is open source, released under the MIT license.
- What language is glasses written in?
- FrancescoSaverioZuppichini/glasses is primarily written in Jupyter Notebook.
- How popular is glasses?
- FrancescoSaverioZuppichini/glasses has 447 stars on GitHub.
- Where can I find glasses?
- FrancescoSaverioZuppichini/glasses is on GitHub at https://github.com/FrancescoSaverioZuppichini/glasses.