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Awesome GitHub RepositoriesDisplay Methods
Defines how custom data types are rendered for visual inspection in batch displays.
Distinct from Custom Data Types: Distinct from Custom Data Types: focuses on the visual rendering method for display, not the type definition itself.
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Awesome Display Methods GitHub Repositories
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- fastai/course22
fastai/course22
3,398Ver en GitHubThis is a structured deep learning curriculum for programmers, delivered as a collection of Jupyter notebooks. It teaches the fundamentals of training neural networks for computer vision, natural language processing, tabular data analysis, and collaborative filtering using PyTorch and the fastai library. The course is designed to be hands-on, guiding learners from building a training loop from scratch to fine-tuning pretrained models for a variety of practical tasks. The curriculum distinguishes itself by covering the full lifecycle of a deep learning project, from data preparation and augmen
Provides a mechanism to define how custom data types appear in batch visualizations.
Jupyter Notebookdeep-learningfastaijupyter-notebooks
