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Builds data loaders for test items using the same preprocessing steps applied to validation sets.
Distinct from Data Loaders: Distinct from Data Loaders: focuses on creating test-specific loaders that reuse validation preprocessing.
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Awesome Test GitHub Repositories
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- fastai/course22
fastai/course22
3,398عرض على 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
Creates test data loaders that reuse validation preprocessing transforms for consistent evaluation.
Jupyter Notebookdeep-learningfastaijupyter-notebooks
