yueqiusun Goto Github PK
Name: Yueqiu Sun
Type: User
Company: OSMO
Bio: Machine learning / computer vision engineer at OSMO with both research and practical experience in building machine learning models/applications.
Location: Bay Area
Name: Yueqiu Sun
Type: User
Company: OSMO
Bio: Machine learning / computer vision engineer at OSMO with both research and practical experience in building machine learning models/applications.
Location: Bay Area
Python code for probability and statistics homework
Examined the relationship between 3112 counties' voter behavior and their demographic and economic characteristics, and discovered the role of the non-measurable regional characteristics in influencing the voting behavior.
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
A curated list of awesome resources for adversarial examples in deep learning
Hws and projects for the CS61B course, which is a data structure course of UCB using java.
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Homework Repository for DS1003-Machine Learning in which ml_Yueqiu_Sun.pdf and code are solely written by me.
Contains labs and hws for 1004 BIg Data course (Hadoop, Spark, SQL, AWS)
Course project repo for DSGA 1004
A deep learning architecture to model the link between the galaxies distribution and its underlyingdark matter distribution.
Write PCA, K-means from scratch to analyze high-frequency trading data
Python code for the course homework including data exploration, data preparation, model selection and etc.
A machine learning frameworks that predict the clinical conditions of epilepsy patients based on retrospective review of the patient’s background RNS electrocorticography (ECoG)
Models and examples built with TensorFlow
A data science case study on the ratings with regression and data visualization
NLP course-based project: focus on translation of Chinese to English and Vietnamese to English.
:paperclip: Summaries of papers on deep learning
Train RNN- and CNN-based models to tackle the Stanford Natural Language Inference (SNLI) task
It is a project that aim to detect and classify hate speech and offensive speech on Twitter using bag of words model. The ipython notebook include the process of data cleaning, feature extraction and SVM model building.
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.