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| Pairs | # same commits | # commits 1 | # commits 2 | latest commit |
|---|---|---|---|---|
| 07_training/07d_distribute.ipynb 07_training/07a_ingest.ipynb |
2 | 6 (33%) | 8 (25%) | 2025-01-15 |
| 09_deploying/09b_rest.ipynb 07_training/07d_distribute.ipynb |
2 | 7 (28%) | 6 (33%) | 2025-01-15 |
| 05_create_dataset/05_split_tfrecord.ipynb 03_image_models/flowers.py |
2 | 7 (28%) | 3 (66%) | 2025-01-15 |
| 09_deploying/09b_rest.ipynb 03_image_models/flowers.py |
2 | 7 (28%) | 3 (66%) | 2025-01-15 |
| 05_create_dataset/05_label_images.ipynb 03_image_models/flowers.py |
2 | 5 (40%) | 3 (66%) | 2025-01-15 |
| 07_training/serverlessml/flowers/classifier/train.py 07_training/07a_ingest.ipynb |
2 | 4 (50%) | 8 (25%) | 2025-01-15 |
| 09_deploying/09b_rest.ipynb 05_create_dataset/05_label_images.ipynb |
2 | 7 (28%) | 5 (40%) | 2025-01-15 |
| 09_deploying/09d_bytes.ipynb 07_training/07a_ingest.ipynb |
2 | 6 (33%) | 8 (25%) | 2025-01-15 |
| 10_mlops/10a_mlpipeline.ipynb 09_deploying/09d_bytes.ipynb |
2 | 6 (33%) | 6 (33%) | 2025-01-15 |
| 10_mlops/10a_mlpipeline.ipynb 07_training/07a_ingest.ipynb |
2 | 6 (33%) | 8 (25%) | 2025-01-15 |
| 09_deploying/09d_bytes.ipynb 09_deploying/09b_rest.ipynb |
2 | 6 (33%) | 7 (28%) | 2025-01-15 |
| 07_training/serverlessml/flowers/classifier/train.py 07_training/07d_distribute.ipynb |
2 | 4 (50%) | 6 (33%) | 2025-01-15 |
| 10_mlops/10a_mlpipeline.ipynb 07_training/07d_distribute.ipynb |
2 | 6 (33%) | 6 (33%) | 2025-01-15 |
| 09_deploying/09d_bytes.ipynb 05_create_dataset/05_label_images.ipynb |
2 | 6 (33%) | 5 (40%) | 2025-01-15 |
| 09_deploying/09e_tflite.ipynb 07_training/serverlessml/flowers/classifier/train.py |
2 | 3 (66%) | 4 (50%) | 2025-01-15 |
| 10_mlops/10a_mlpipeline.ipynb 05_create_dataset/05_split_tfrecord.ipynb |
2 | 6 (33%) | 7 (28%) | 2025-01-15 |
| 09_deploying/09b_rest.ipynb 07_training/serverlessml/flowers/classifier/train.py |
2 | 7 (28%) | 4 (50%) | 2025-01-15 |
| 10_mlops/10a_mlpipeline.ipynb 05_create_dataset/05_label_images.ipynb |
2 | 6 (33%) | 5 (40%) | 2025-01-15 |
| 07_training/07d_distribute.ipynb 05_create_dataset/05_label_images.ipynb |
2 | 6 (33%) | 5 (40%) | 2025-01-15 |
| 09_deploying/09d_bytes.ipynb 07_training/serverlessml/flowers/classifier/train.py |
2 | 6 (33%) | 4 (50%) | 2025-01-15 |
| 09_deploying/09e_tflite.ipynb 05_create_dataset/05_label_images.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-01-15 |
| 10_mlops/10a_mlpipeline.ipynb 07_training/serverlessml/flowers/classifier/train.py |
2 | 6 (33%) | 4 (50%) | 2025-01-15 |
| 09_deploying/09e_tflite.ipynb 09_deploying/09d_bytes.ipynb |
2 | 3 (66%) | 6 (33%) | 2025-01-15 |
| 07_training/07a_ingest.ipynb 05_create_dataset/05_split_tfrecord.ipynb |
2 | 8 (25%) | 7 (28%) | 2025-01-15 |
| 07_training/07a_ingest.ipynb 03_image_models/flowers.py |
2 | 8 (25%) | 3 (66%) | 2025-01-15 |
| 09_deploying/09e_tflite.ipynb 07_training/07a_ingest.ipynb |
2 | 3 (66%) | 8 (25%) | 2025-01-15 |
| 07_training/07d_distribute.ipynb 05_create_dataset/05_split_tfrecord.ipynb |
2 | 6 (33%) | 7 (28%) | 2025-01-15 |
| 09_deploying/09b_rest.ipynb 05_create_dataset/05_split_tfrecord.ipynb |
2 | 7 (28%) | 7 (28%) | 2025-01-15 |
| 09_deploying/09e_tflite.ipynb 07_training/07d_distribute.ipynb |
2 | 3 (66%) | 6 (33%) | 2025-01-15 |
| 09_deploying/09d_bytes.ipynb 05_create_dataset/05_split_tfrecord.ipynb |
2 | 6 (33%) | 7 (28%) | 2025-01-15 |
| 10_mlops/10a_mlpipeline.ipynb 09_deploying/09e_tflite.ipynb |
2 | 6 (33%) | 3 (66%) | 2025-01-15 |
| 09_deploying/09e_tflite.ipynb 09_deploying/09b_rest.ipynb |
2 | 3 (66%) | 7 (28%) | 2025-01-15 |
| 10_mlops/10a_mlpipeline.ipynb 09_deploying/09b_rest.ipynb |
2 | 6 (33%) | 7 (28%) | 2025-01-15 |
| 05_create_dataset/05_split_tfrecord.ipynb 05_create_dataset/05_label_images.ipynb |
2 | 7 (28%) | 5 (40%) | 2025-01-15 |
| 07_training/07d_distribute.ipynb 03_image_models/flowers.py |
2 | 6 (33%) | 3 (66%) | 2025-01-15 |
| 07_training/serverlessml/flowers/classifier/train.py 05_create_dataset/05_split_tfrecord.ipynb |
2 | 4 (50%) | 7 (28%) | 2025-01-15 |
| 09_deploying/09e_tflite.ipynb 03_image_models/flowers.py |
2 | 3 (66%) | 3 (66%) | 2025-01-15 |
| 07_training/07a_ingest.ipynb 05_create_dataset/05_label_images.ipynb |
2 | 8 (25%) | 5 (40%) | 2025-01-15 |
| 07_training/serverlessml/flowers/classifier/train.py 03_image_models/flowers.py |
2 | 4 (50%) | 3 (66%) | 2025-01-15 |
| 09_deploying/09e_tflite.ipynb 05_create_dataset/05_split_tfrecord.ipynb |
2 | 3 (66%) | 7 (28%) | 2025-01-15 |
| 07_training/serverlessml/flowers/classifier/train.py 05_create_dataset/05_label_images.ipynb |
2 | 4 (50%) | 5 (40%) | 2025-01-15 |
| 10_mlops/10a_mlpipeline.ipynb 03_image_models/flowers.py |
2 | 6 (33%) | 3 (66%) | 2025-01-15 |
| 09_deploying/09b_rest.ipynb 07_training/07a_ingest.ipynb |
2 | 7 (28%) | 8 (25%) | 2025-01-15 |
| 09_deploying/09d_bytes.ipynb 07_training/07d_distribute.ipynb |
2 | 6 (33%) | 6 (33%) | 2025-01-15 |
| 09_deploying/09d_bytes.ipynb 03_image_models/flowers.py |
2 | 6 (33%) | 3 (66%) | 2025-01-15 |
