├── Chapter_2 ├── KL_divergence.py ├── comittee_entropy.py ├── entropy.py ├── least_confident.py ├── margin_sampling.py ├── max_disagreement.py ├── ratio_sampling.py └── weighted_density.py ├── Chapter_3 ├── classes_sampling.ipynb ├── evaluation_labelers_metrics.py ├── multiple_labelers_consensus.py └── predictions_labels_mismatches.ipynb ├── Chapter_4 ├── image_classification_active_learning.ipynb ├── instance_segmentation_active_learning.ipynb └── object_detection_active_learning.ipynb ├── Chapter_5 ├── Leveraging Active Learning for Big Data with Lightly.ipynb └── videos │ └── project_demo │ └── dog_running_ball.mp4 ├── Chapter_6 ├── .DS_Store ├── Chapter6.ipynb └── config.yaml ├── Chapter_7 └── Chapter7.ipynb ├── LICENSE └── README.md /Chapter_2/KL_divergence.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Active-Machine-Learning-with-Python/HEAD/Chapter_2/KL_divergence.py 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