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dstoolkit-devcontainers icon dstoolkit-devcontainers

A machine learning project template that makes it easy to work with multiple Docker based VSCode Dev Containers. Easily transition projects to the cloud and production with automated code quality checks, pytest configuration, CI pipeline templates & AML cloud example

dstoolkit-discoveryenvisioning icon dstoolkit-discoveryenvisioning

Combination of Copilot Prompts and PowerPoint Templates to enable discovery & prioritization of use cases and envisioning the requirements and OKR for a solution.s

dstoolkit-e2e-presidio-evaluation icon dstoolkit-e2e-presidio-evaluation

End-to-end Presidio evaluation toolkit uses Presidio, hugging face transformers, Azure Language Service, AzureML, and GitHub Action pipeline to provide a streamlined, end-to-end solution for assessing different PII detection frameworks/ models.

dstoolkit-forecasting icon dstoolkit-forecasting

Template for forecasting data science project and identify consumption profiles in time series

dstoolkit-genai-shap icon dstoolkit-genai-shap

SHAP (SHapley Additive exPlanations) for Generative AI (LLMs and SMLs) based solutions.

dstoolkit-kg-search icon dstoolkit-kg-search

This repository contains example code to implement a Knowledge-Graph-enhanced search solution

dstoolkit-labelling-app icon dstoolkit-labelling-app

A web application for collecting feedback on machine learning-generated outputs, developed with Streamlit.

dstoolkit-mlops-v2 icon dstoolkit-mlops-v2

This repository contains the basic repository structure for machine learning projects based on Azure technologies (Azure ML and Azure DevOps).

dstoolkit-objectdetection-tensorflow-azureml icon dstoolkit-objectdetection-tensorflow-azureml

The object detection solution accelerator provides a pre-packaged solution to train, deploy and monitor custom object detection models using the TensorFlow object detection API within Azure ML.

dstoolkit-phi2-finetune icon dstoolkit-phi2-finetune

This repository contains step by step instructions on how to finetune Microsoft's Phi-2 model with your own data.

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