MackCesar

MackCesar

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MackCesar's repositories

data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

License:Apache-2.0Stargazers:0Issues:0Issues:0

RedditDataEngineering

This project provides a comprehensive data pipeline solution to extract, transform, and load (ETL) Reddit data into a Redshift data warehouse. The pipeline leverages a combination of tools and services including Apache Airflow, Celery, PostgreSQL, Amazon S3, AWS Glue, Amazon Athena, and Amazon Redshift.

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License:MITStargazers:0Issues:0Issues:0

copilot-codespaces-vscode

Develop with AI-powered code suggestions using GitHub Copilot and VS Code

License:MITStargazers:0Issues:0Issues:0

MetalDiffusion

Stable Diffusion in TensorFlow / Keras, Designed for Apple Metal on Intel. Forked from @divamgupta's work

License:NOASSERTIONStargazers:0Issues:0Issues:0

ye-vits-svc

so-vits-svc

License:MITStargazers:0Issues:0Issues:0

ETL-pipeline

Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.

License:MITStargazers:0Issues:0Issues:0

Data-Pipelines-with-Airflow

This project helps me to understand the core concepts of Apache Airflow. Technologies used: Apache Airflow, S3, Amazon Redshift, Python.

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