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).

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

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.

Generative AI engineering notebooks about Large Language Model customization

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

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.

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