Popular GitHub Repositories for Microsoft Access

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

Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

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)

Access large language models from the command-line

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

All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.

? 一键拥有你自己的 ChatGPT+众多AI 网页服务 | One click access to your own ChatGPT+Many AI web services

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

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

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.