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Name: steve su
Type: User
Name: steve su
Type: User
Objective: Using the AI_gym environment design an algorithm which will instruct an agent to learn and succeed at different tasks
Objective: Using Apache Storm construct a spout/bolt topology to perform a word count and report top N words. This is from course work at UIUC MCS.
Data visualization D3.js - Country Advancement (education, health, employment)
Deep Learning Methods for Chest X-ray Classification
Objective: This study investigates the use of finite element analysis (FEA) to generate data as an alternative to experimental data to train a machine learning (ML) algorithm for the purpose of creating a analytics tool to predict product manufacturing yield.
german sign classification CNN
Objective: Perform market analysis on Iowa liquor stores using State of Iowa alcoholic records, US census, US geological GIS data.
Objective: Create a multi-threaded program where shared files are protected and synchonized by mutex lock
Neural Network Models - Sentiment Classification of Tweets
short article on the prevalence RNNs in NLP tasks
Objectives: Using pyspark, MLlib and graphframes libraries, perform 1) classification and custering tasks using RandomF and Kmeans and 2) graph analysis tasks. This material is from UIUC MCS coursework.
Objective: Perform word count tasks and joins using spark SQL within a Docker container
Objectives: 1) Design a KNN algorithm using R, 2) Summarize classification performance using KNN, linear/quadratic regression and Bayes rule. Training and test data are generated from a bi-variate Gaussian mixture model.
Objectives: 1) Implement coordinate descent algorithm for lasso penalization using R, 2) Document performance differences between lasso and ridge penalization when performing regression on a reference data set versus reference data with added spurious predictors
Regression Models - Decision Trees (GBM) and Linear Regression (ElasticNet)
Build a Movie Recommender App - Algorithm Selection and App Implementation using R's Shiny Platform
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.