The Digital Product School AI Challenge involves creating a new project on the Google Cloud Platform and enabling the necessary APIs. A bucket is then created for the project and a directory with appropriate files and content is made for training. Once a container image is created, it is pushed to the registry and the model is trained using Vertex

This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.

Learning AutoML

3D CNN based video classification android application. Transcribes lip movements of the speaker in a silent video to text. The neural network captures spatio temporal information from video required to generate words from video. MLOps using Vertex AI was used to deploy the model in a CI/CD fashion on android app

Fine tuning GPT2 to generate stories from text prompts, Deep Daze library integration to generate images from stories and MLOps based continuous monitoring, deployment and serving of trained model on cloud.

Project demonstrating dual model deployment scenarios using Vertex AI (GCP).

An end to end anime recommendation system based on data scrapped from myanimelist.net

Tools for making machine learning on Google Cloud easier

The official notebooks are organized by Google Cloud Vertex AI products.

Repo with examples for using various GCP services with a heavy focus on Machine Learning

Workshop abierto y gratuito ¿Cómo hacer ciencia de datos en la nube de Google? // 2022-16-06

I got Google Cloud Certified. I have what it takes to leverage Google Cloud technology. Here my certification: https://www.credential.net/ee1bd2d6-fdb0-4037-8a8d-9afae3d79c86.

A basic ML pipeline with Kubeflow deployed on Google Cloud Platform using Vertex AI

Tuning, training, and testing Keras models for CRNN handwritten text digitization.

Backend App Using NodeJS, ExpressJS, and The cloud computing part required by the Rebage application ☁

Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.

This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.

Contains my code and deck for Cloud Community Days Ahmedabad 2022.

A demo of GKE with Vertex AI

🔥 DCGAN TorchServe Handler Example