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2 changes: 1 addition & 1 deletion .gitignore
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Expand Up @@ -307,7 +307,7 @@ MLEnv/
**/cifar-100-python/
**/cifar-100-python.tar.gz
**/data/
**/sample_images/
# **/sample_images/

# PyTorch model checkpoints
**/*.pth
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98 changes: 98 additions & 0 deletions imagenet_samples/metadata.json
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{
"tabby_cat_1": {
"class_idx": 281,
"class_name": "tabby cat"
},
"tabby_cat_2": {
"class_idx": 281,
"class_name": "tabby cat"
},
"persian_cat_1": {
"class_idx": 283,
"class_name": "persian cat"
},
"siamese_cat_1": {
"class_idx": 284,
"class_name": "siamese cat"
},
"golden_retriever_1": {
"class_idx": 207,
"class_name": "golden retriever"
},
"golden_retriever_2": {
"class_idx": 207,
"class_name": "golden retriever"
},
"german_shepherd_1": {
"class_idx": 235,
"class_name": "german shepherd"
},
"beagle_1": {
"class_idx": 162,
"class_name": "beagle"
},
"corgi_1": {
"class_idx": 263,
"class_name": "pembroke corgi"
},
"robin_1": {
"class_idx": 15,
"class_name": "robin"
},
"pizza_1": {
"class_idx": 963,
"class_name": "pizza"
},
"pizza_2": {
"class_idx": 963,
"class_name": "pizza"
},
"strawberry_1": {
"class_idx": 949,
"class_name": "strawberry"
},
"banana_1": {
"class_idx": 954,
"class_name": "banana"
},
"ice_cream_1": {
"class_idx": 928,
"class_name": "ice cream"
},
"elephant_1": {
"class_idx": 386,
"class_name": "african elephant"
},
"zebra_1": {
"class_idx": 340,
"class_name": "zebra"
},
"tiger_1": {
"class_idx": 292,
"class_name": "tiger"
},
"panda_1": {
"class_idx": 388,
"class_name": "giant panda"
},
"bear_1": {
"class_idx": 294,
"class_name": "brown bear"
},
"spurious_husky_indoor": {
"class_idx": 250,
"class_name": "SPURIOUS: siberian husky"
},
"spurious_horse_beach": {
"class_idx": 340,
"class_name": "SPURIOUS: sorrel horse"
},
"spurious_cow_field": {
"class_idx": 345,
"class_name": "SPURIOUS: ox"
},
"spurious_robin_ground": {
"class_idx": 15,
"class_name": "SPURIOUS: robin"
}
}
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2 changes: 2 additions & 0 deletions notebooks.qmd
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Expand Up @@ -118,6 +118,8 @@ Interactive notebooks provide practical coding examples and visualizations to co
- [Feature Selection](notebooks/sfs-and-bfs.ipynb) - Forward/backward selection
- [Sklearn on GPU](notebooks/sklearn-on-gpu.ipynb) - Performance optimization
- [Zero/Few Shot Learning](notebooks/zeroshot-fewshot.ipynb) - Modern ML paradigms
- [DinoV3 Classification](notebooks/dinov3-classification.ipynb) - Foundation models for vision
- [DinoV3 Regression](notebooks/dinov3-regression.ipynb) - Foundation models for vision

### Special Applications

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681 changes: 681 additions & 0 deletions notebooks/dinov3-classification.ipynb

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