Topic: "amazon-sagemaker-notebook"
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).
Language: Python - Size: 15.9 MB - Last synced at: 7 days ago - Pushed at: 10 days ago - Stars: 4,030 - Forks: 707
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
Language: HTML - Size: 91.9 MB - Last synced at: 24 days ago - Pushed at: 5 months ago - Stars: 42 - Forks: 6
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.
Language: Jupyter Notebook - Size: 646 KB - Last synced at: 24 days ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 4
aws-samples/generative-ai-falcon-40b-instruct-notebooks
Generative AI engineering notebooks about Large Language Model customization
Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: 24 days ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 0
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.
Language: HTML - Size: 1.51 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 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
Language: HTML - Size: 166 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1
