Valliappa (Lak) Lakshmanan

A catalog of design patterns when building generative AI applications

Repository corresponding to O'Reilly book by Priyanka Vergadia and Valliappa Lakshmanan

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Code and notebooks associated with my blogposts

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

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

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.

N-D labeled arrays and datasets in Python

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example ipython notebook to display NEXRAD on AWS

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Fast Style Transfer in TensorFlow ⚡🖥🎨🖼

Google Datalab Library

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

Samples for Google Cloud Machine Learning Engine

Tutorial for Cloud Dataflow

Google Cloud Datalab samples and documentation

Computation using data flow graphs for scalable machine learning

Machine Learning Pipelines for Kubeflow

Reference models and tools for Cloud TPUs.

Open source tools for Google Cloud Storage and Databases.

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

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

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

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

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

Apache Beam

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

TensorFlow documentation

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