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This tutorial helps people to get a basic usage understanding of the Semi-Supervised Learning codebase USB - benchmark. We will show how to use the API provided in USB to train Semi-Supervised Algorithms, e.g., FixMatch, on different data.
Existing tutorials on this topic
Category: Extending PyTorch
Category: Image and Video
Additional context
Invited by @carljparker as part of the PyTorch Docathon H2 2023.
Label: docathon-h2-2023
The text was updated successfully, but these errors were encountered:
🚀 Descirbe the improvement or the new tutorial
This tutorial helps people to get a basic usage understanding of the Semi-Supervised Learning codebase USB - benchmark. We will show how to use the API provided in USB to train Semi-Supervised Algorithms, e.g., FixMatch, on different data.
Existing tutorials on this topic
Category: Extending PyTorch
Category: Image and Video
Additional context
Invited by @carljparker as part of the PyTorch Docathon H2 2023.
Label: docathon-h2-2023
The text was updated successfully, but these errors were encountered: