Pinned Repositories
azure-form-recognizer-samples
azure-search-openai-demo
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.
Best-README-Template
An awesome README template to jumpstart your projects!
fastbook
The fastai book, published as Jupyter Notebooks
FlightSim
tennis.ai
vkurpad's Repositories
vkurpad/tennis.ai
vkurpad/azure-form-recognizer-samples
vkurpad/azure-search-openai-demo
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.
vkurpad/Best-README-Template
An awesome README template to jumpstart your projects!
vkurpad/fastbook
The fastai book, published as Jupyter Notebooks
vkurpad/FlightSim
vkurpad/Form-Recognizer-Toolkit
Form Recognizer Toolkit (FRTK) provides a set of components and features to accelerate development based on Form Recognizer service.
vkurpad/GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
vkurpad/graphrag-accelerator
One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure
vkurpad/i2cdevlib
I2C device library collection for AVR/Arduino or other C++-based MCUs
vkurpad/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
vkurpad/IPTCExtractor
vkurpad/MotionCollector
Simple iOS app to collect data from CoreMotion sensors.
vkurpad/MotionTracking
The Application uses CoreMotion and LocationManager to collect the data and saves it to a file that is transferred to the iPhone using WatchConnectivity
vkurpad/Phi-3CookBook
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.
vkurpad/SAM2_Sample
vkurpad/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
vkurpad/tennis-motion
App to collect high-frequency tennis motion data from Apple Watch
vkurpad/vkurpad
vkurpad/vkurpad.github.io
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