azure / azureml-examples
File Size

The distribution of size of files (measured in lines of code).

Intro
Learn more...
File Size Overall
29% | 34% | 22% | 6% | 7%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
ipynb30% | 43% | 23% | 2% | <1%
pt100% | 0% | 0% | 0% | 0%
meta99% | 0% | 0% | 0% | <1%
rds0% | 100% | 0% | 0% | 0%
py0% | 4% | 22% | 31% | 41%
pkl0% | 51% | 21% | 10% | 16%
jsonl0% | 25% | 72% | 0% | 2%
yaml0% | 0% | 47% | 14% | 37%
cs0% | 0% | 21% | 39% | 39%
toml0% | 0% | 97% | 0% | 2%
java0% | 0% | 0% | 61% | 38%
ts0% | 0% | 0% | 0% | 100%
ps10% | 0% | 0% | 0% | 100%
jl0% | 0% | 0% | 0% | 100%
jinja20% | 0% | 0% | 0% | 100%
xml0% | 0% | 0% | 0% | 100%
html0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
sdk30% | 36% | 24% | 4% | 4%
cli27% | 9% | 15% | 19% | 27%
tutorials15% | 66% | 15% | 1% | 1%
setup0% | 92% | 0% | 0% | 7%
best-practices0% | 0% | 0% | 42% | 57%
infra0% | 0% | 0% | 64% | 35%
Longest Files (Top 50)
File# lines# units
pt
model.pt
in sdk/python/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/model
 7101 -
pt
model.pt
in cli/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/model
 7101 -
responsibleaidashboard-healthcare-covid-classification.ipynb
in sdk/python/responsible-ai/tabular/responsibleaidashboard-healthcare-covid-classification
 1963 -
responsibleaidashboard-ed-student-attrition-clf.ipynb
in sdk/python/responsible-ai/tabular/responsibleaidashboard-ed-student-attrition-clf
 1933 -
responsibleaidashboard-finance-loan-classification.ipynb
in sdk/python/responsible-ai/tabular/responsibleaidashboard-finance-loan-classification
 1911 -
responsibleaidashboard-text-classification-financial-news.ipynb
in sdk/python/responsible-ai/text/responsibleaidashboard-text-classification-financial-news
 1809 -
automl-image-object-detection-task-fridge-items.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items
 1776 -
automl-image-instance-segmentation-task-fridge-items.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-image-instance-segmentation-task-fridge-items
 1742 -
automl-image-classification-multiclass-task-fridge-items.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-image-classification-multiclass-task-fridge-items
 1734 -
automl-image-classification-multilabel-task-fridge-items.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-image-classification-multilabel-task-fridge-items
 1725 -
4.Provision-feature-store.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_and_cli
 1702 -
7.Develop-feature-set-domain-specific-language-dsl.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_only
 1650 -
imagenet-classifier-batch.ipynb
in sdk/python/endpoints/batch/deploy-models/imagenet-classifier
 1635 -
Synapse example - Develop feature set and register.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_only
 1564 -
1557 -
mlflow-deployment-with-explanations.ipynb
in sdk/python/responsible-ai/mlflow-deployment-with-explanations
 1547 -
aml-demand-forecast-mm-pipeline.ipynb
in sdk/python/jobs/pipelines/1k_demand_forecast_pipeline/aml-demand-forecast-mm-pipeline
 1489 -
aml-demand-forecast-hts.ipynb
in sdk/python/jobs/pipelines/1k_demand_forecast_pipeline/aml-demand-forecast-hts-pipeline
 1389 -
image-object-detection-batch-scoring-non-mlflow-model.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items-batch-scoring
 1353 -
automl-forecasting-distributed-tcn.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-forecasting-distributed-tcn
 1349 -
1325 -
e2e-ml-workflow.ipynb
in tutorials/e2e-ds-experience
 1321 -
1.Develop-feature-set-and-register.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_only
 1315 -
mnist-batch.ipynb
in sdk/python/endpoints/batch/deploy-models/mnist-classifier
 1310 -
mmdetection-fridgeobjects-object-detection.ipynb
in sdk/python/foundation-models/system/finetune/image-object-detection
 1306 -
1.Develop-feature-set-and-register.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_and_cli
 1304 -
1303 -
meta
mnist-tf.model.meta
in sdk/python/jobs/parallel/3a_mnist_batch_identification/mnist_models
 1297 -
meta
mnist-tf.model.meta
in cli/jobs/pipelines/mnist-batch-identification-using-parallel/mnist_models
 1297 -
meta
mnist-tf.model.meta
in cli/jobs/parallel/3a_mnist_batch_identification/mnist_models
 1297 -
1295 -
4.Enable-online-store-run-inference.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_only
 1285 -
automl-forecasting-orange-juice-sales-mlflow.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-forecasting-orange-juice-sales
 1264 -
1241 -
2.Experiment-train-models-using-features.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_and_cli
 1228 -
mmdetection-fridgeobjects-instance-segmentation.ipynb
in sdk/python/foundation-models/system/finetune/image-instance-segmentation
 1226 -
2.Experiment-train-models-using-features.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_only
 1220 -
hftransformers-fridgeobjects-multilabel-classification.ipynb
in sdk/python/foundation-models/system/finetune/image-classification/multilabel-classification
 1183 -
hftransformers-fridgeobjects-multiclass-classification.ipynb
in sdk/python/foundation-models/system/finetune/image-classification/multiclass-classification
 1177 -
mmtracking-video-multi-object-tracking.ipynb
in sdk/python/foundation-models/system/finetune/video-multi-object-tracking
 1173 -
sdk-deploy-and-test.ipynb
in sdk/python/endpoints/batch/deploy-pipelines/training-with-components
 1159 -
responsibleaidashboard-programmer-regression-model-debugging.ipynb
in sdk/python/responsible-ai/tabular/responsibleaidashboard-programmer-regression-model-debugging
 1134 -
text-summarization-batch.ipynb
in sdk/python/endpoints/batch/deploy-models/huggingface-text-summarization
 1103 -
1086 -
responsibleaidashboard-housing-classification-model-debugging.ipynb
in sdk/python/responsible-ai/tabular/responsibleaidashboard-housing-classification-model-debugging
 1084 -
1080 -
mlflow-for-batch-tabular.ipynb
in sdk/python/endpoints/batch/deploy-models/heart-classifier-mlflow
 1073 -
automl-classification-task-bankmarketing.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-classification-task-bankmarketing
 1060 -
pinecone_mlindex_with_langchain.ipynb
in sdk/python/generative-ai/rag/notebooks/pinecone
 1043 -
automl-nlp-multilabel-paper-cat.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-nlp-text-classification-multilabel-task-paper-categorization
 1040 -
Files With Most Units (Top 50)
File# lines# units
score_online.py
in sdk/python/foundation-models/system/inference/text-to-image/scoring-files
 571 30
score.py
in sdk/python/foundation-models/system/inference/text-generation/llama-files/score/default
 542 28
training.py
in sdk/python/jobs/pipelines/2d_image_classification_with_densenet/imagecnn_train/image_classification
 462 24
utils.py
in sdk/python/foundation-models/system/finetune/Llama-notebooks/datagen
 301 24
training.py
in cli/jobs/pipelines-with-components/image_classification_with_densenet/image_cnn_train/image_classification
 462 24
score_batch.py
in sdk/python/foundation-models/system/inference/text-to-image/scoring-files/score
 417 23
score_batch.py
in cli/foundation-models/system/inference/text-to-image/scoring-files/score
 394 23
dataloaders.py
in sdk/python/jobs/pipelines/2d_image_classification_with_densenet/imagecnn_train/image_classification
 378 20
dataloaders.py
in cli/jobs/pipelines-with-components/image_classification_with_densenet/image_cnn_train/image_classification
 378 20
resnet.py
in sdk/python/jobs/pipelines/2d_image_classification_with_densenet/imagecnn_train/image_classification
 307 19
amlsecscan.py
in setup/setup-ci/security-scanner
 595 19
resnet.py
in cli/jobs/pipelines-with-components/image_classification_with_densenet/image_cnn_train/image_classification
 307 19
MlFlowExperiment.java
in cli/jobs/single-step/java/iris/src/main/java/com/microsoft/ml/experiment
 163 18
139 18
readme.py
in cli
 438 15
readme.py
in sdk/python
 310 14
cocovid2jsonl.py
in sdk/python/foundation-models/system/finetune/video-multi-object-tracking
 125 13
training.py
in sdk/python/foundation-models/healthcare-ai/medimageinsight/classification_demo/adaptor_training
 194 12
exam_parameter_helpers.py
in sdk/python/foundation-models/healthcare-ai/medimageinsight/exam-parameter-demo
 233 12
cocovid2jsonl.py
in cli/foundation-models/system/finetune/video-multi-object-tracking
 127 12
document_intelligence_loader.py
in sdk/python/generative-ai/rag/notebooks/custom_crack_and_chunk_parallel/crack_and_chunk_with_doc_intel
 180 11
document_intelligence_loader.py
in sdk/python/generative-ai/rag/notebooks/custom_crack_and_chunk/crack_and_chunk_with_doc_intel
 180 11
Plot_Performance_Results.py
in cli/endpoints/online/triton/single-model/olive_model_analyzer
 347 11
train.py
in tutorials/e2e-distributed-pytorch-image/src/pytorch_dl_train
 449 11
coco2jsonl.py
in sdk/python/foundation-models/system/finetune/image-object-detection
 102 10
processing_utils.py
in sdk/python/foundation-models/healthcare-ai/medimageparse/sematic-segmentation-demo
 295 10
profiling.py
in cli/jobs/pipelines/tensorflow-image-segmentation/src/common
 110 10
model.py
in cli/jobs/single-step/pytorch/word-language-model/src
 117 10
readme.py
in tutorials
 208 10
chatapp.py
in sdk/python/generative-ai/promptflow/deploy-flow/streaming
 179 9
yolo_onnx_preprocessing_utils.py
in sdk/python/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items
 184 9
score_batch.py
in sdk/python/foundation-models/system/inference/text-generation/llama-files/score/default
 111 9
training.py
in cli/jobs/pipelines/tensorflow-image-segmentation/src/tf_helper
 314 9
profiling.py
in cli/jobs/pipelines/tensorflow-image-segmentation/src/tf_helper
 65 9
event_stream.py
in sdk/python/generative-ai/promptflow/deploy-flow/streaming
 60 8
coco_jsonl_converter.py
in sdk/python/jobs/automl-standalone-jobs/jsonl-conversion
 97 8
triton_cc_scoring.py
in cli/endpoints/online/triton/single-model
 62 8
glue_datasets.py
in best-practices/largescale-deep-learning/Training/Bert-Pretrain/src
 95 8
glue_datasets.py
in best-practices/largescale-deep-learning/Training/DeepSpeed-Autotuning/src
 95 8
oai.py
in sdk/python/generative-ai/rag/code_first/flows/chat-with-index/src/utils
 125 7
train.py
in sdk/python/jobs/pipelines/2a_train_mnist_with_tensorflow/src
 91 7
utils.py
in sdk/python/jobs/pipelines/2d_image_classification_with_densenet/imagecnn_train/image_classification
 69 7
main.py
in sdk/python/jobs/single-step/tensorflow/mnist-distributed/src
 84 7
tf_mnist.py
in sdk/python/jobs/single-step/tensorflow/train-hyperparameter-tune-deploy-with-tensorflow/src
 178 7
mot2coco.py
in sdk/python/foundation-models/system/finetune/video-multi-object-tracking
 186 7
run.py
in cli/monitoring/components/custom_signal/src
 66 7
AMLAuthentication.java
in cli/jobs/single-step/java/iris/src/main/java/com/microsoft/aml/auth
 71 7
train.py
in cli/jobs/single-step/tensorflow/mnist-distributed/src
 84 7
utils.py
in cli/jobs/pipelines-with-components/image_classification_with_densenet/image_cnn_train/image_classification
 69 7
mot2coco.py
in cli/foundation-models/system/finetune/video-multi-object-tracking
 186 7
Files With Long Lines (Top 50)

There are 539 files with lines longer than 120 characters. In total, there are 17543 long lines.

File# lines# units# long lines
pt
model.pt
in sdk/python/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/model
 7101 - 2703
pt
model.pt
in cli/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/model
 7101 - 2703
jsonl
train_nlu_qa.jsonl
in cli/foundation-models/system/distillation/nlu_qa
 512 - 512
jsonl
train.jsonl
in sdk/python/foundation-models/azure_openai/oai-v1/data
 408 - 408
jsonl
train.jsonl
in cli/foundation-models/azure_openai/oai-v1/data
 408 - 408
pkl
model.pkl
in sdk/python/using-mlflow/deploy/model
 857 - 380
jsonl
train_math.jsonl
in cli/foundation-models/system/distillation/math
 378 - 378
pkl
model.pkl
in tutorials/get-started-notebooks/deploy/credit_defaults_model
 662 - 370
rds
b.rds
in cli/endpoints/online/custom-container/r/multimodel-plumber/models
 866 - 306
rds
a.rds
in cli/endpoints/online/custom-container/r/multimodel-plumber/models
 934 - 302
rds
c.rds
in cli/endpoints/online/custom-container/r/multimodel-plumber/models
 918 - 293
jsonl
validation_nlu_qa.jsonl
in cli/foundation-models/system/distillation/nlu_qa
 256 - 256
pkl
iris.pkl
in sdk/python/endpoints/online/managed/inference-schema/models
 319 - 220
pkl
iris.pkl
in cli/endpoints/online/managed/inference-schema/models
 319 - 220
automl-forecasting-distributed-tcn.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-forecasting-distributed-tcn
 1349 - 83
image-object-detection-batch-scoring-non-mlflow-model.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items-batch-scoring
 1353 - 71
aml-demand-forecast-mm-pipeline.ipynb
in sdk/python/jobs/pipelines/1k_demand_forecast_pipeline/aml-demand-forecast-mm-pipeline
 1489 - 69
1.Develop-feature-set-and-register.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_and_cli
 1304 - 69
automl-image-instance-segmentation-task-fridge-items.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-image-instance-segmentation-task-fridge-items
 1742 - 68
automl-image-object-detection-task-fridge-items.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items
 1776 - 67
automl-image-classification-multilabel-task-fridge-items.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-image-classification-multilabel-task-fridge-items
 1725 - 66
pinecone_mlindex_with_langchain.ipynb
in sdk/python/generative-ai/rag/notebooks/pinecone
 1043 - 65
automl-image-classification-multiclass-task-fridge-items.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-image-classification-multiclass-task-fridge-items
 1734 - 65
acs_mlindex_with_langchain.ipynb
in sdk/python/generative-ai/rag/notebooks/azure_cognitive_search
 995 - 62
meta
mnist-tf.model.meta
in sdk/python/jobs/parallel/3a_mnist_batch_identification/mnist_models
 1297 - 61
meta
mnist-tf.model.meta
in cli/jobs/pipelines/mnist-batch-identification-using-parallel/mnist_models
 1297 - 61
meta
mnist-tf.model.meta
in cli/jobs/parallel/3a_mnist_batch_identification/mnist_models
 1297 - 61
aml-demand-forecast-hts.ipynb
in sdk/python/jobs/pipelines/1k_demand_forecast_pipeline/aml-demand-forecast-hts-pipeline
 1389 - 57
e2e-ml-workflow.ipynb
in tutorials/e2e-ds-experience
 1321 - 56
train-hyperparameter-tune-deploy-with-keras.ipynb
in sdk/python/jobs/single-step/tensorflow/train-hyperparameter-tune-deploy-with-keras
 865 - 53
mmdetection-fridgeobjects-object-detection.ipynb
in sdk/python/foundation-models/system/finetune/image-object-detection
 1306 - 53
url_to_faiss_incremental_embeddings_with_tabular_data.ipynb
in sdk/python/generative-ai/rag/notebooks/faiss
 1032 - 52
s3_to_acs_mlindex_with_langchain.ipynb
in sdk/python/generative-ai/rag/notebooks/azure_cognitive_search
 797 - 52
s3_to_pinecone_mlindex_with_langchain.ipynb
in sdk/python/generative-ai/rag/notebooks/pinecone
 838 - 52
train-hyperparameter-tune-deploy-with-tensorflow.ipynb
in sdk/python/jobs/single-step/tensorflow/train-hyperparameter-tune-deploy-with-tensorflow
 841 - 52
7.Develop-feature-set-domain-specific-language-dsl.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_only
 1650 - 52
1.Develop-feature-set-and-register.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_only
 1315 - 52
automl-forecasting-orange-juice-sales-mlflow.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-forecasting-orange-juice-sales
 1264 - 50
faiss_mlindex_with_langchain.ipynb
in sdk/python/generative-ai/rag/notebooks/faiss
 741 - 49
4.Provision-feature-store.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_and_cli
 1702 - 49
2.Experiment-train-models-using-features.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_and_cli
 1228 - 48
mmdetection-fridgeobjects-instance-segmentation.ipynb
in sdk/python/foundation-models/system/finetune/image-instance-segmentation
 1226 - 47
scheduled_update_faiss_index.ipynb
in sdk/python/generative-ai/rag/notebooks/faiss
 686 - 46
train-hyperparameter-tune-deploy-with-pytorch.ipynb
in sdk/python/jobs/single-step/pytorch/train-hyperparameter-tune-deploy-with-pytorch
 718 - 46
hftransformers-fridgeobjects-multiclass-classification.ipynb
in sdk/python/foundation-models/system/finetune/image-classification/multiclass-classification
 1177 - 46
hftransformers-fridgeobjects-multilabel-classification.ipynb
in sdk/python/foundation-models/system/finetune/image-classification/multilabel-classification
 1183 - 46
mmtracking-video-multi-object-tracking.ipynb
in sdk/python/foundation-models/system/finetune/video-multi-object-tracking
 1173 - 46
explore-data.ipynb
in tutorials/get-started-notebooks
 569 - 45
automl-forecasting-recipe-univariate-experiment-settings.ipynb
in sdk/python/jobs/automl-standalone-jobs/automl-forecasting-recipes-univariate
 784 - 43
4.Enable-online-store-run-inference.ipynb
in sdk/python/featurestore_sample/notebooks/sdk_only
 1285 - 43
Correlations

File Size vs. Commits (all time): 1219 points

cli/endpoints/online/ncd/lightgbm-deployment.yaml x: 4 commits (all time) y: 10 lines of code sdk/python/responsible-ai/vision/responsibleaidashboard-image-classification-fridge.ipynb x: 19 commits (all time) y: 996 lines of code sdk/python/responsible-ai/vision/responsibleaidashboard-image-flower-classification.ipynb x: 12 commits (all time) y: 1325 lines of code sdk/python/foundation-models/mistral/mistralai.ipynb x: 4 commits (all time) y: 288 lines of code sdk/python/assets/environment/environment-with-private-package.ipynb x: 1 commits (all time) y: 204 lines of code sdk/python/using-mlflow/deploy/mlflow_sdk_online_endpoints_progresive.ipynb x: 5 commits (all time) y: 974 lines of code cli/foundation-models/system/finetune/image-classification/multiclass-classification/prepare_data.py x: 4 commits (all time) y: 130 lines of code cli/foundation-models/system/finetune/image-instance-segmentation/prepare_data.py x: 3 commits (all time) y: 192 lines of code cli/foundation-models/system/finetune/image-object-detection/prepare_data.py x: 3 commits (all time) y: 160 lines of code cli/foundation-models/system/inference/image-classification/prepare_data.py x: 4 commits (all time) y: 97 lines of code cli/foundation-models/system/inference/image-instance-segmentation/prepare_data.py x: 3 commits (all time) y: 73 lines of code cli/foundation-models/system/inference/image-to-text/prepare_data.py x: 3 commits (all time) y: 88 lines of code cli/foundation-models/system/inference/mask-generation/prepare_data.py x: 3 commits (all time) y: 129 lines of code cli/foundation-models/system/inference/zero-shot-image-classification/prepare_data.py x: 5 commits (all time) y: 101 lines of code cli/jobs/automl-standalone-jobs/cli-automl-image-classification-multiclass-task-fridge-items/prepare_data.py x: 5 commits (all time) y: 120 lines of code cli/jobs/automl-standalone-jobs/cli-automl-image-instance-segmentation-task-fridge-items/prepare_data.py x: 7 commits 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7101.0
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min: 1.0 | average: 1.99 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 22.0

File Size vs. Commits (30 days): 8 points

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1325.0
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min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Contributors (30 days): 8 points

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contributors (30d)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Commits (90 days): 108 points

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File Size vs. Contributors (90 days): 108 points

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contributors (90d)
min: 1.0 | average: 1.05 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 2.0