jugi92

jugi92

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Company:Microsoft

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jugi92's repositories

python_advent_calendar

An advent calendar with small coding challenges behind every door

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manage_fabric_capacity_python_runbook

Start/Stop Suspend/Resume and Scale Microsoft Fabric Capacities with Managed Identity Python Runbook

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AzureMapsCodeSamples

A set of code samples for the Azure Maps web control.

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dbutilsMock

Mock to use for Databricks Utils (dbutils) whenever it is not installed, e.g. on you local machine

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architecture-center

Open Source documentation for the Azure Architecture Center on Microsoft Docs

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Azure-Data-Factory-Integration-Runtime-in-Windows-Container

Azure Data Factory Integration Runtime in Windows Container Sample

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azure-devops-docs

This repo is the home of the official Azure DevOps documentation for Microsoft. GitHub Issues filed in this repository should be for problems with the documentation.

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azure-docs

Open source documentation of Microsoft Azure

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Azure-OpenAI-demos

Azure OpenAI (demos, documentation, accelerators).

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azure-synapse-analytics-end2end

Azure Analytics End to End with Azure Synapse - Deployment Accelerator

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detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

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fabric-docs

Public repo for the fabric-docs-pr pair

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hyperleaup

Create and manipulate Tableau Hyper files from Apache Spark DataFrames and Spark SQL

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interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

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Modern_Analytics_Architecture

Modern_Analytics_Architecture

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msdocs-python-flask-webapp-quickstart

Contains the sample application for the App Service Quickstart in Python using Flask.

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OpenAIWorkshop

workshop materials to build intelligent solutions on Open AI

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point-e

Point cloud diffusion for 3D model synthesis

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pyfakewebcam

A library for writing RGB frames to a fake webcam device on Linux!

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suspend_or_resume_fabric_capacity_runbook

Start/Stop Suspend/Resume Microsoft Fabric Capacities

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yolact

A simple, fully convolutional model for real-time instance segmentation.

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