Azure Computer Vision 4 (March 2023 - Florence) workshop in a day
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Updated
May 11, 2023 - Jupyter Notebook
Azure Computer Vision 4 (March 2023 - Florence) workshop in a day
AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to make trading decisions based on multiple sophisticated algorithms. Built with the latest machine learning and data science techniques, AI-CryptoTrader provides a powerful toolset and advanced trading stratgies for maximizing your cryptocurrency profits.
This repository is mainly used for the R&D of the Azure AI, .NET & Power Platform
Video search using Azure Computer Vision 4 (Florence)
Explore the power of Azure Text-to-Speech with interactive talking avatar, Lisa 👩🏻🦱. Choose from multiple languages and avatar styles to bring your text to life.
Azure AI Translator demos
This sample shows how to build vector similarity search on Azure Cosmos DB for PostgreSQL using the pgvector extension and the multi-modal embeddings APIs of Azure AI Vision.
A web app that extracts and translates text from handwritten notes. Created with Flask and Azure Cognitive Services. Hosted on Azure App Service.
🪟🍭🖥️ A concise summary of Microsoft's products includes Azure, .NET, M365, Power Platform, Security, DevOps, Viva, and GitHub. The curricula are based on the Build 2023 challenge.
The Microsoft Azure has a lot to offer when it comes to Cognitive Services, trying out them is really fun. Here in this article, we are going to see how we can detect and read texts from an image and show it in the display using the Cognitive Service Computer Vision AI. The service Computer Vision has it's own machine language running which help…
A collection of projects developed under Azure AI ecosystem.
Computer vision projects with Azure Custom Vision. Published on my blog.
FRT Internship Project | Streamlit App using Azure AI Services
Azure-ComputerVision-Background removal (version 4.0 preview)
Azure-ComputerVision-ImageRetrieval (version 4.0 preview)
EY Latam South Generative AI Accelerator
Deploy LLMs using Azure Model-as-a-Service (MaaS) and Terraform
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