Google Cloud Platform, offered by Google, is a suite of cloud computing services. It provides Infrastructure as a Service, Platform as a Service, and serverless computing environments. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
A GitHub Action for running a Google Cloud Vertex AI notebook.
Contains jupyter notebooks, presentations and examples for Keras, Google AI Platform and Kubeflow.
Notebooks for colab that use the TPU
StackQL Jupyter Notebook Demo
Running Cloud AI Platform Notebook On Google Kubernetes Engine
Ansible script to provision a machine on the Google Cloud Platform with a Jupyter Notebook
This Repository contains notebook,scripts and files for building MLops Pipeline in GCP Cloud. ☁️☁️
Contains Colab Notebooks show cool use-cases of different GCP ML APIs.
Serverless for data practitioners. The fastest ⚡️ way to run your code in the cloud. Effortlessly run scripts, functions, and Jupyter notebooks in virtual machines.
Some collected and improved Jupyter Notebook Templates for MLOps, mainly for Kubeflow pipelines on GCP Vertex AI platform and Tensorflow Extended pipelines.
An AI chatbot project that leverages Dialogflow CX and Python notebooks to design and test conversational flows.
Sample code and notebooks for Generative AI on Google Cloud, including Gemini
This is a study project. I get analytics/ML examples from Kaggle and use different technologies to re-implement them.
GCP_Data_Enginner
A papermill implementation to run notebooks inside dataproc serverless
This repo contains notebook and data that you can upload to datalab
Example terraform project using GCP to provision an Apache Spark Cluster with a Jupyter Notebook interface.
Released April 7, 2008