Sagemaker Model deployment and Integration

• ml-lineage-helper

  1 14 10.0 Python

  A wrapper around SageMaker ML Lineage Tracking extending ML Lineage to end-to-end ML lifecycles, including additional capabilities around Feature Store groups, queries, and other relevant artifacts.

  

Refer the notebook https://github.com/aws-samples/ml-lineage-helper/blob/main/examples/example.ipynb for more details.

• sagemaker-multi-model-endpoint-tensorflow-computer-vision

  1 9 10.0 Jupyter Notebook

  In this repo, we show how to host two computer vision models trained using the TensorFlow framework under one SageMaker multi-model endpoint.

  

Refer the notebook https://github.com/aws-samples/sagemaker-multi-model-endpoint-tensorflow-computer-vision/blob/main/multi-model-endpoint-tensorflow-cv.ipynb to understand how we can deploy this/. Refer the blog https://aws.amazon.com/blogs/machine-learning/save-on-inference-costs-by-using-amazon-sagemaker-multi-model-endpoints/

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• notebooks

  17 3,293 8.4 Jupyter Notebook

  Notebooks using the Hugging Face libraries 🤗 (by huggingface)

  

📓 Open the notebook for an example of how to run a batch transform job for inference.

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