lakshmanok Goto Github PK

architecting-data-ml-platforms

Supplementary material for the O'Reilly book "Architecting Data and ML Platforms"

asgbook

Java code accompanying "Automating the Analysis of Spatial Grids" by Valliappa Lakshmanan, Springer, 2012

awesome-gcp-certifications

A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.

beam

Apache Beam

bigquery-utils

Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.

bikes_weather

ciramp

cloudcomparer

Compare the various managed cloud services offered by the major public cloud providers in the market.

cloudml-samples

Samples for Google Cloud Machine Learning Engine

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

dataflow-geobeam

dataflowsme

Tutorial for Cloud Dataflow

dataproc-initialization-actions

Run in all nodes of your cluster before the cluster starts - let's you customize your cluster

df-ml-anomaly-detection

Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP

docs

TensorFlow documentation

dspy

DSPy: The framework for programming—not prompting—foundation models

fast-style-transfer

Fast Style Transfer in TensorFlow ⚡🖥🎨🖼

gcp-notebook-executor

This repository contains the logic that can be used to schedule notebook execution on the Google Compute Engine DLVM

generative-ai-design-patterns

A catalog of design patterns when building generative AI applications

lakblogs

Code and notebooks associated with my blogposts

ml-on-gcp

Machine Learning on Google Cloud Platform

mlops-on-gcp

nexradaws

example ipython notebook to display NEXRAD on AWS

notebooks

Google Cloud Datalab samples and documentation

pipelines

Machine Learning Pipelines for Kubeflow

pontem

Open source tools for Google Cloud Storage and Databases.

predeal

Program to predeal hands in small bridge games. The basic idea, explained by Matthew Johnson http://www.matthew.ath.cx/projects/pescetti is to take a sorted hand, deal it once according to a random permutation and then deal it again, this time to the target combination of cards.

professional-services

Common solutions and tools developed by Google Cloud's Professional Services team

pydatalab

Google Datalab Library

spanner-event-exporter

Publish Events from Cloud Spanner to Pub/Sub or Spanner Queues