Name: Yingyi Wu (AI Digital Artist)
Type: User
Company: Digital Art Co., Ltd.
Bio: Bravely showcase my unique abilities and characteristics, and courageously pursue my dreams and goals. Becoming an AI digital artist with excellent artworks.
Location: Suzhou
Blog: https://jenifferyingyiwu.github.io
Yingyi Wu (AI Digital Artist)'s Projects
Public facing notes page
Automatically exported from code.google.com/p/cuda-convnet
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Programs I wrote for a data structures class I took.
Code and examples for Clean Data book
My data mining code!
Lecture notes for Advances in Data Mining
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
The Web framework for perfectionists with deadlines.
Code for 2nd place solution to the 2017 National Data Science Bowl
A Django project skeleton that is modern and cutting edge.
R package for handling, checking and enforcing data rules
Fast Randomized PCA/SVD
The combined Form and API platform for Angular and React. https://form.io
A very basic Event Registration system built on top of Form.io.
The Form.IO API Service library for Node.js applications
Landing page viewer for forms and wizards within Form.io
Generic Django Project I Use For All New Applications
Repo for the submission of the course project for the Johns Hopkins Getting and Cleaning Data course.
You wanna learn how to use Hadoop, start here!
Source, data and turotials of the blog post video series of Hue, the Web UI for Hadoop.
Mirror of Apache Hive
This is an educational example of a data mining web application: when is good time to post on HN
The open source IFML editor - Based on Sirius
Research on big data algorithm based on Web Crawler
Code for Kaggle-CIFAR10 competition. 5th place.
Kaggle datascience bowl 2017