Popular GitHub Repositories for Microsoft Qnamaker

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

12 Weeks, 24 Lessons, AI for All!

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

Best Practices, code samples, and documentation for Computer Vision.

Desktop application of new Bing's AI-powered chat (Windows, macOS and Linux)

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

An 11-Lesson course teaching everything you need to know about harnessing GitHub Copilot as an AI Paired Programming resource.

Simple and Distributed Machine Learning

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

Microsoft Distributed Machine Learning Toolkit

Scenarios, tutorials and demos for Autonomous Driving

Leaked GPTs Prompts Bypass the 25 message limit or to try out GPTs without a Plus subscription.

Multi-Task Deep Neural Networks for Natural Language Understanding