Amazon-sagemaker-examples Alternatives

amazon-sagemaker-examples reviews and mentions

• Thesis Project Help Using SageMaker Free Tier
  1 project | /r/aws | 23 Sep 2023

  I need to use AWS Sagemaker (required, can't use easier services) and my adviser gave me this document to start with: https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/question_answering_retrieval_augmented_generation/question_answering_langchain_jumpstart.ipynb

• Sagemaker step scaling policy
  1 project | /r/aws | 9 Jun 2023

  I'm trying to define a step scaling policy for my sagemaker realtime endpoint, based on this example notebook. I understand that the step scaling policy defines thresholds to provision a different amount of instances, but I am confused because it doesn't seem to specify the metrics to track.

• Working On My Own Generative AI App, Taking ~10 sec to generate image.
  1 project | /r/developersIndia | 18 May 2023

  Yeah man: https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_text_to_image/Amazon_JumpStart_Text_To_Image.ipynb

• Study Plan to pass exam AWS Machine Learning Specialty exam with tips and advice
  1 project | dev.to | 3 Nov 2022

  It's time to get your hands dirty by solving some ML Use Cases of your own from AWS SageMaker Use Cases repo.

• Using AWS for Text Classification Part-1
  2 projects | dev.to | 27 Aug 2022

  Additionally, you can easily deploy pretrained fastText models on their own to live SageMaker endpoints to compute embedding vectors on the fly for use in relevant word-level tasks. See the following GitHub example for more details.

• [D] How to monitor NLP and Object Detection models on AWS Sagemaker?
  1 project | /r/MachineLearning | 9 Aug 2022

  We are kind of boxed into using Sagemaker at our organization and we need to do a POC for Sagemaker's model monitoring. We noticed that Sagemaker monitoring works best with models that use tabular data/features. There are a lot of example notebooks that demonstrate model monitoring capabilities, but all of the examples are based on tabular data. We are trying to apply Sagemaker's model monitoring and gather metrics from Data Quality, Model Quality, Bias Drift, Feature Attribution Drift, and Explainability and then push those metrics into CloudWatch, similar to what was done in these notebooks: https://github.com/aws/amazon-sagemaker-examples/tree/main/sagemaker_model_monitor .

• Migrate local Data Science workspaces to SageMaker Studio
  3 projects | dev.to | 8 Aug 2022

  Amazon SageMaker provides XGBoost as a built-in algorithm and data science team decided to use it and re-train the model. So, data scientists just need to call built-in version and provide path to data on S3, more detailed description can be found in documentation. Example notebook can be found here.

• What's New with AWS: Amazon SageMaker built-in algorithms now provides four new Tabular Data Modeling Algorithms
  3 projects | dev.to | 28 Jun 2022

  Amazon SageMaker provides four new tabular data modeling algorithms: LightGBM, CatBoost, AutoGluon-Tabular and TabTransformer. These popular, state-of-the-art algorithms can be used for both tabular classification and regression tasks. They are available through the SageMaker JumpStart UI inside of SageMaker Studio, as well as through python code using SageMaker Python SDK. To learn how to use these algorithms, you can find SageMaker example notebooks below:

• How InfoJobs (Adevinta) improves NLP model prediction performance with AWS Inferentia and Amazon SageMaker
  2 projects | dev.to | 9 Jun 2022

  In this section, we go through an example in which we show you how to compile a BERT model with Neo for AWS Inferentia. We then deploy that model to a SageMaker endpoint. You can find a sample notebook describing the whole process in detail on GitHub.

• amazon-sagemaker-examples: Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
  1 project | /r/u_TsukiZombina | 18 Apr 2022
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