hshujuan Goto Github PK
Type: User
Company: Microsoft
Bio: Machine Learning Scientist
Location: Seattle
Type: User
Company: Microsoft
Bio: Machine Learning Scientist
Location: Seattle
MLADS lab session materials
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
Data Science Specialization Capstone Project implementation
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
The Leek group guide to data sharing
Course Project
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.
Plotting Assignment 1 for Exploratory Data Analysis
The fastai deep learning library, plus lessons and tutorials
Google Deep Learning Notes(TensorFlow教程)
JHU's Getting and Cleaning Data - Quizzes and project
Mini projects Coursera Course 'Interactive Programming in Python'
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
⚡ Building applications with LLMs through composability ⚡
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.
Notes for machine learning
Deep Modular Co-Attention Networks for Visual Question Answering
Study notes from Coursera NLP specialization: https://www.coursera.org/specializations/natural-language-processing
Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.
Repo for my live-training about autogen
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.