CycleGAN project to generate Monet-style paintings from photos. Trained and deployed the model using FastAPI and Flask, and deployed it to Docker and GCP's App Engine.
-
Updated
Aug 17, 2024 - Jupyter Notebook
CycleGAN project to generate Monet-style paintings from photos. Trained and deployed the model using FastAPI and Flask, and deployed it to Docker and GCP's App Engine.
⚡ Ready-to-use, serverless, full-stack application built with AWS Lambda, Express.js, React, AWS DynamoDB and AWS HTTP API.
This project evaluates your understanding of containerization, CI/CD pipelines, and Google Kubernetes Engine (GKE) by developing a cloud-native application on Google Cloud Platform (GCP). You'll demonstrate proficiency in Docker, CI/CD practices, and Kubernetes concepts.
Terraform module to build a Google Artifact Registry
Add a description, image, and links to the artifactregistry topic page so that developers can more easily learn about it.
To associate your repository with the artifactregistry topic, visit your repo's landing page and select "manage topics."