rasbt/datapipes-blog
Code for the DataPipes article
This code helps machine learning practitioners efficiently manage and load various types of data for training models. It demonstrates how to prepare data from sources like CSV files or image folders, and then process it into a format ready for machine learning frameworks. Data scientists and ML engineers who work with PyTorch will find this useful for streamlining their data workflows.
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Use this if you are a machine learning practitioner looking for efficient ways to load and prepare datasets, such as images or tabular data, for your PyTorch models.
Not ideal if you are a non-developer seeking a no-code solution for data preparation, as this project requires programming knowledge.
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Language
Jupyter Notebook
License
BSD-3-Clause
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Last pushed
Jun 14, 2022
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