peterqiu0516 Goto Github PK
Name: Peter Qiu
Type: User
Company: University of Michigan
Bio: Incoming PhD @ UW | CS BS @umich | ECE BS @sjtu | Ex. Deep Learning Intern @intel | Passionate about #NLP
Location: Ann Arbor, MI
Name: Peter Qiu
Type: User
Company: University of Michigan
Bio: Incoming PhD @ UW | CS BS @umich | ECE BS @sjtu | Ex. Deep Learning Intern @intel | Passionate about #NLP
Location: Ann Arbor, MI
Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
EECS 498 NLP Project - Click-BERT: Clickbait Detector with Bidirectional Encoder Representations from Transformers
An unofficial Wiki for UM-SJTU JI Dual-Degree Program.
Notes and exercises for Deep Learning Specialization Offered by DeepLearning.AI on Coursera.
EECS 598-012 Unsupervised Visual Learning @ Umich (2021 Winter)
Must-read papers on graph neural networks (GNN)
Notes and exercises for Machine Learning for Trading Specialization Offered by Google Cloud and New York Institute of Finance on Coursera
Analysis of anonymous grades retrieved by all JI students, among the courses with the same course id in different sections and academic years, aiming at forming a better and fairer GPA environment in JI.
My own solutions for LeetCode exercises.
An workshop on application of computer vision and machine learning to self-driving cars based on Python and ROS held at MIT.
Code of paper "A Geometric Analysis of Neural Collapse with Unconstrained Features"
MATH 371 (Numerical Methods) @umich course project poster.
Financial portfolio optimisation in python, including classical efficient frontier and advanced methods.
A QQ group repeater bot.
Exercise for Investment and Portfolio Management Specialization offered by Rice on Coursera.
A portfolio selection recommendation system based on Markowitz Mean-Variance Model and Black-Litterman Model implemented on the financial App "Navigator".
Coding exercise for Algorithms Specialization offered by Stanford on Coursera.
Slides and Homework Exercise for Machine Learning on Coursera offered on Coursera, taught by Andrew Ng.
Collection of course syllabus and websites (mainly EECS) @ Umich
Solve LeetCode problems in VS Code
Basic web crawling and data processing based on Python(using selenium and openpyxl) and R(using rvest, xml2 and xlsx).
Data and code accompanying the paper "Reasoning about Goals, Steps, and Temporal Ordering with WikiHow"
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.