amazon-sagemaker-notebook

There are 0 repository under amazon-sagemaker-notebook topic.

• aws-sdk-pandas

  aws / aws-sdk-pandas

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

  pythonawspandasapache-arrowapache-parquetdata-engineeringetldata-scienceredshiftathenalambdaaws-lambdaaws-glueemramazon-athenaglue-catalogmysqlamazon-sagemaker-notebookmodinray
  Language:Python 3857

• aws-samples / multimodal-rag-on-slide-decks

  'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker

  amazon-bedrockamazon-opensearch-serverlessamazon-sagemakeramazon-sagemaker-notebookamazon-titanamazon-web-servicesgenerative-aimultimodalopensearch-ingestionragretrieval-augmented-generation
  Language:HTML 27

• aws-samples / amazon-sagemaker-visual-transformer

  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.

  amazon-sagemakeramazon-sagemaker-studioamazon-sagemaker-notebookimage-classificationpytorchpythondistributed-trainingvision-transformervisual-transformer
  Language:Jupyter Notebook 16

• aws-samples / generative-ai-falcon-40b-instruct-notebooks

  Generative AI engineering notebooks about Large Language Model customization

  amazon-sagemaker-notebookfalcon-40b-instructgenerative-ailarge-language-modelsfoundation-model-customization
  Language:Jupyter Notebook 8

• phreakyphoenix / Deploy-Sentiment-Analysis-LSTM

  Sentiment Analysis WebApp using LSTM, made with :heart: in PyTorch and deployed on AWS:rocket: Do :star2: the repo and show some love.

  sentiment-analysisawsdeep-learningudacityaws-clis3amazon-sagemakeramazon-sagemaker-notebookamazon-deploymentudacity-deep-learningudacity-nanoudacity-projectdlndamazon-lambdaend-to-end-machine-learningudacity-deployment-projectrnn
  Language:HTML 7

• karolcichosz / sentiment-analysis-web-app

  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.

  machine-learningmachine-learning-algorithmsmachinelearningpythonamazon-sagemakeramazon-sagemaker-notebookwebappwebapplicationweb-applicationrecurrent-neural-networksrecurrent-neural-networkrnn-modellstm-neural-networkslstm-sentiment-analysispytorch
  Language:HTML 0

• gstdl / Sentiment-Analysis-Deployment-Udacity-Project

  Deployed a sentiment analysis model using AWS (Amazon Web Services). Service used includes Amazon Sagemaker, AWS Lambda, and Amazon API Gateway

  awsaws-lambdaamazon-api-gatewayamazon-sagemaker-notebook
  Language:HTML