amazon-sagemaker-notebook

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awslabs / aws-data-wrangler

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

mysql python emr aws data-science lambda aws-lambda athena etl pandas data-engineering redshift apache-parquet amazon-athena apache-arrow aws-glue glue-catalog amazon-sagemaker-notebook

Updated Mar 17, 2022
Python

aws-samples / amazon-sagemaker-visual-transformer

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Implementation of Image Classification using Visual Transformers in Amazon SageMaker based on the ideas from research paper - Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

python pytorch image-classification distributed-training amazon-sagemaker amazon-sagemaker-notebook vision-transformer amazon-sagemaker-studio visual-transformer

Updated Dec 28, 2020
Jupyter Notebook

phreakyphoenix / Deploy-Sentiment-Analysis-LSTM

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Sentiment Analysis WebApp using LSTM, made with ❤️ in PyTorch and deployed on AWS🚀 Do 🌟 the repo and show some love.

aws udacity deep-learning sentiment-analysis s3 aws-cli dlnd rnn udacity-deep-learning amazon-lambda end-to-end-machine-learning amazon-sagemaker udacity-project udacity-nano amazon-sagemaker-notebook amazon-deployment udacity-deployment-project

Updated May 29, 2020
HTML

karolcichosz / sentiment-analysis-web-app

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MACHINE LEARNING / NLP / AMAZON SAGEMAKER: This an exemplary implementation of Web Application predicting if provided movie review is POSITIVE or NEGATIVE. This application uses Machine Learning model trained and deployed on Amazon SageMaker environment.