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Hi there 👋

**I'm Huajun Zhao.

  • 🔭 I’m currently working at Microsoft.
  • 🌱 I’m currently learning AI, Machine Learning technologies.
  • 📫 How to reach me: LinkedIn, Zhihu

huajunzh's Projects

acs-engine icon acs-engine

Azure Container Service Engine - a place for community to collaborate and build the best open Docker container infrastructure for Azure.

bigdl icon bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

botbuilder-samples icon botbuilder-samples

Welcome to the BotBuilder samples repository. Here you will find task-focused samples in C# and Node.js to help you get started with the Bot Builder SDK!

chakracore icon chakracore

ChakraCore is the core part of the Chakra JavaScript engine that powers Microsoft Edge

cntk icon cntk

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

consoletables icon consoletables

Print out a nicely formatted table in a console application C#

dependencyinjection icon dependencyinjection

[Archived] Contains common DI abstractions that ASP.NET Core and Entity Framework Core use. Project moved to https://github.com/aspnet/Extensions

extensions icon extensions

.NET APIs for commonly used programming patterns and utilities, such as dependency injection, logging, and configuration.

gpt-3 icon gpt-3

GPT-3: Language Models are Few-Shot Learners

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

portaldocs icon portaldocs

This repository contains documents for creating extension in Azure Portal. The SDK and documentation are not supported for teams outside Microsoft.

qlib icon qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

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