AmirMShebly/Model-Agnositc-Meta-Learning-for-Few-Shot-Image-Classification
View on GitHub ↗Related repositories →This repository demonstrates the application of Model-Agnostic Meta-Learning (MAML) for few-shot image classification, using the MNIST dataset as a simple example. The project showcases how MAML can quickly adapt to new tasks with limited data, highlighting its potential for real-world scenarios where data is scarce.
active 2024-10-13 → 2024-11-19 (UTC)
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Line chart, 38 days from 2024-10-13 to 2024-11-19. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| AmirMShebly | 2 | 2 | 0 | 0 |
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