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Add Examples by Problem Type website page (aws#3498)
* Add homepage link under Use Cases to jumpstart, create new page with table * Continue formatting table, add toctree notebook link * Add all JumpStart notebook toctree links * Rename problem types RST file, remove intermediate page * Remove extra newline Co-authored-by: atqy <[email protected]>
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| SageMaker Algorithms with Pre-Trained Model Examples by Problem Type | ||
| ==================================================================== | ||
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| The SageMaker Python SDK provides built-in algorithms with pre-trained models from popular open source model hubs, such as TensorFlow Hub, PyTorch Hub, and Hugging Face. Customers can deploy these pre-trained models as-is, or first fine-tune them on a custom dataset and then deploy to a SageMaker endpoint for inference. | ||
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| This section provides example notebooks for different ML problem types supported by SageMaker built-in algorithms. Please visit `Use Built-in Algorithms with Pre-trained Models in SageMaker Python SDK <https://sagemaker.readthedocs.io/en/stable/overview.html#use-built-in-algorithms-with-pre-trained-models-in-sagemaker-python-sdk>`_ for more documentation. | ||
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| .. list-table:: Example notebooks by problem type | ||
| :header-rows: 1 | ||
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| * - | Problem types | ||
| - | Supports | ||
| | inference | ||
| | with | ||
| | pre-trained | ||
| | models | ||
| - | Trainable | ||
| | on a | ||
| | custom | ||
| | dataset | ||
| - | Supported frameworks | ||
| - | Example notebooks | ||
| * - Image classification | ||
| - Yes | ||
| - Yes | ||
| - PyTorch, TensorFlow | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_image_classification/Amazon_JumpStart_Image_Classification | ||
| * - Object detection | ||
| - Yes | ||
| - Yes | ||
| - PyTorch, TensorFlow, MXNet | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_object_detection/Amazon_JumpStart_Object_Detection.ipynb | ||
| * - Semantic segmentation | ||
| - Yes | ||
| - Yes | ||
| - MXNet | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_semantic_segmentation/Amazon_JumpStart_Semantic_Segmentation.ipynb | ||
| * - Instance segmentation | ||
| - Yes | ||
| - Yes | ||
| - MXNet | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_instance_segmentation/Amazon_JumpStart_Instance_Segmentation.ipynb | ||
| * - Image embedding | ||
| - Yes | ||
| - No | ||
| - TensorFlow, MXNet | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_image_embedding/Amazon_JumpStart_Image_Embedding.ipynb | ||
| * - Text classification | ||
| - Yes | ||
| - Yes | ||
| - TensorFlow | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_text_classification/Amazon_JumpStart_Text_Classification.ipynb | ||
| * - Sentence pair classification | ||
| - Yes | ||
| - Yes | ||
| - TensorFlow, Hugging Face | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_sentence_pair_classification/Amazon_JumpStart_Sentence_Pair_Classification.ipynb | ||
| * - Question answering | ||
| - Yes | ||
| - Yes | ||
| - PyTorch | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_question_answering/Amazon_JumpStart_Question_Answering.ipynb | ||
| * - Named entity recognition | ||
| - Yes | ||
| - No | ||
| - Hugging Face | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_named_entity_recognition/Amazon_JumpStart_Named_Entity_Recognition.ipynb | ||
| * - Text summarization | ||
| - Yes | ||
| - No | ||
| - Hugging Face | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_text_summarization/Amazon_JumpStart_Text_Summarization.ipynb | ||
| * - Text generation | ||
| - Yes | ||
| - No | ||
| - Hugging Face | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_text_generation/Amazon_JumpStart_Text_Generation.ipynb | ||
| * - Machine translation | ||
| - Yes | ||
| - No | ||
| - Hugging Face | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_machine_translation/Amazon_JumpStart_Machine_Translation.ipynb | ||
| * - Text embedding | ||
| - Yes | ||
| - No | ||
| - TensorFlow, MXNet | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/jumpstart_text_embedding/Amazon_JumpStart_Text_Embedding.ipynb | ||
| * - Tabular classification | ||
| - Yes | ||
| - Yes | ||
| - | LightGBM, CatBoost, XGBoost, | ||
| | AutoGluon-Tabular, | ||
| | TabTransformer, Linear Learner | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/lightgbm_catboost_tabular/Amazon_Tabular_Classification_LightGBM_CatBoost.ipynb | ||
| ../introduction_to_amazon_algorithms/xgboost_linear_learner_tabular/Amazon_Tabular_Classification_XGBoost_LinearLearner.ipynb | ||
| ../introduction_to_amazon_algorithms/autogluon_tabular/Amazon_Tabular_Classification_AutoGluon.ipynb | ||
| ../introduction_to_amazon_algorithms/tabtransformer_tabular/Amazon_Tabular_Classification_TabTransformer.ipynb | ||
| * - Tabular regression | ||
| - Yes | ||
| - Yes | ||
| - | LightGBM, CatBoost, XGBoost, | ||
| | AutoGluon-Tabular, | ||
| | TabTransformer, Linear Learner | ||
| - .. toctree:: | ||
| :maxdepth: 1 | ||
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| ../introduction_to_amazon_algorithms/lightgbm_catboost_tabular/Amazon_Tabular_Classification_LightGBM_CatBoost.ipynb | ||
| ../introduction_to_amazon_algorithms/xgboost_linear_learner_tabular/Amazon_Tabular_Classification_XGBoost_LinearLearner.ipynb | ||
| ../introduction_to_amazon_algorithms/autogluon_tabular/Amazon_Tabular_Classification_AutoGluon.ipynb | ||
| ../introduction_to_amazon_algorithms/tabtransformer_tabular/Amazon_Tabular_Classification_TabTransformer.ipynb |