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FinRL®: Financial Reinforcement Learning. 🔥
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM
An assortment of assets that demonstrate features and capabilities of the glTF format
glTF Sample Models
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Lightweight controller library for JavaScript.
A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage
Enterprise-grade landing zone for AI agent applications on Azure. Deploy the secure infrastructure, the agent app, or both — built on Microsoft Foundry and Microsoft Agent Framework, with Zero-Trus…
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
A design system built by IBM
A GitOps OpenTofu and Terraform controller for Flux
Source code for the X Recommendation Algorithm
A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
Compatibility tool for Steam Play based on Wine and additional components
An automated workflow to store '.xls' attachments to azure blob storage
CCPS Digital Twin is a React + Node web application developed on top of Autodesk Forge `forge-dataviz-iot-reference-app`
Function D is an Azure Function that simulate sensors on Azure Iot Hub based on the messages from Azure Service Bus
Function C is an Azure function that create messages from CSV and publish them to Azure Service Bus as scheduled messages.
Function B is an Azure Function to perform ETL on sensor data in EXCEL format, and store the output on Azure Blob Storage in CSV format.