# microsoft/ailab

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

Repository: https://github.com/microsoft/ailab
Canonical: https://ross.abutalabs.com/products/ailab
Homepage: https://www.ailab.microsoft.com/experiments/
Language: C#
License: MIT
License Family: permissive
Topics: computer-vision, custom-vision, ocr, ai, azure-functions, algorithms, luis, language-learning, translation, bing-search, object-detection, image-classification, bot, iot, csharp, javascript, html5, dnn
Last push: 2024-06-26T19:42:37+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2963, "days_push": 798, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7853, forks 1390 (observed 2026-08-28T04:10:07.428404+00:00)

## What it is
A collection of Microsoft AI Lab demo projects showcasing custom vision, attnGAN, Cognitive Search, machine reading comprehension, bots, and more, each with source code, videos, and playgrounds. It is an educational showcase for developers to experience, learn, and code with Microsoft AI technologies.

## Use cases
- learn how to build AI demos with Azure Cognitive Services
- find sample code for object detection and image classification
- explore machine reading comprehension examples
- see how to build a chatbot with Microsoft Bot Framework
- learn image captioning with attnGAN
- get started with Microsoft AI as a developer

## When to choose
- you want guided, end-to-end AI demo projects with source code and videos
- you are learning Microsoft AI services like Custom Vision, LUIS, or Cognitive Search
- you want inspiration for AI-powered applications

## When to avoid
- you need a production-ready library or framework to depend on
- you need actively maintained, up-to-date AI tooling
- you want vendor-neutral or non-Azure AI examples

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, computer-vision, nlp, chatbot, ocr, image-processing
- domain: artificial-intelligence, machine-learning, computer-vision, education, tutorials
- platform: cross-platform, cloud, python, dotnet
- tags: microsoft-ai, demo-projects, azure-cognitive-services, sample-code, experiments, ai-school, natural-language-processing, javascript

## Member repositories
- microsoft/ailab (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:07.428404+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:33:48.778940+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/ailab (fetched 2026-08-28T04:10:07.428404+00:00, sha 672f5f923304)
- Data as of 2026-08-30T08:39:29.467469+00:00.