Tutorial | Learning Type | Description |
---|---|---|
Hello World | Supervised | Train and use an image similarity model to find similar looking MNIST digits |
Self-Supervised Learning | Unsupervised | Train an image model using the SimSiam based self-supervised contrastive learning. |
visualization | Supervised | Train an image similarity model on the Stanford Dogs dataset using Evaluation Callbacks and the interactive visualizer |
Sampler IO Cookbook | Utils | Examples demonstrating how to use the various in memory batch samplers. |
CLIP finetuning | Supervised | Finetune CLIP on atric-dataset using multiple negatives ranking loss. |
examples
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