Vinod Kurpad's Projects
This repository is for active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/java/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-java.
This repository is for active development of the Azure SDK for JavaScript (NodeJS & Browser). For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/javascript/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-js.
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
A collection of useful functions to be deployed as custom skills for Azure Cognitive Search
An awesome README template to jumpstart your projects!
Call Center Analytics with Azure Text Analytics APIs
Code Examples used by the Quickstarts in the Cognitive Services Documentation
An advanced audio library, written in C#. Provides tons of features. From playing/recording audio to decoding/encoding audio streams/files to processing audio data in realtime (e.g. applying custom effects during playback, create visualizations,...). The possibilities are nearly unlimited.
The fastai book, published as Jupyter Notebooks
Form Recognizer Toolkit (FRTK) provides a set of components and features to accelerate development based on Form Recognizer service.
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
I2C device library collection for AVR/Arduino or other C++-based MCUs
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Simple iOS app to collect data from CoreMotion sensors.
The Application uses CoreMotion and LocationManager to collect the data and saves it to a file that is transferred to the iPhone using WatchConnectivity
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
Azure Blob Storage Photo Gallery Web Application using ASP.NET MVC 5. The sample uses the .NET 4.5 asynchronous programming model to demonstrate how to call the Storage Service using the Storage .NET client library's asynchronous APIs.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
App to collect high-frequency tennis motion data from Apple Watch