Don (@dongdyang)
  • Stars
    star
    27
  • Global Rank 529,752 (Top 19 %)
  • Followers 23
  • Following 1
  • Registered about 9 years ago
  • Most used languages
    Python
    40.0 %
    C++
    20.0 %
    Java
    10.0 %
    Ruby
    10.0 %
    Fortran
    10.0 %
    Batchfile
    10.0 %
  • Location 🇺🇸 United States
  • Country Total Rank 102,293
  • Country Ranking
    Fortran
    602
    Batchfile
    776

Top repositories

1

interpretable-deep-model-mta

This is the project that developed for marketing attribution. It is an interpretable deep learning model for marketing problem.
Python
8
star
2

binary-classification-task-xgboost

binary classification task for Kaggle sample using Pandas, sklearn, xgboost
Python
3
star
3

MASNUM

This is the project to join ASC16 and gain the application innovation prize. The paper URL is http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0169130&type=printable
Fortran
3
star
4

QA-DSSM

This is knowledge-base Question and Answering system using DSSM method.
Batchfile
2
star
5

Log-Analysis

This is the project using Java Hadoop to analyse system log file in several server to do some statistic jobs.
Java
2
star
6

Wechat-tool-for-USC-Second-hand-Group

This is the original Wechat mini code built for second hand group. The function of it is to transfer message between different group chat. In this way, the people in different groups could keep in contact with each others and the information of second hand things are shared.
Python
2
star
7

deep_learning_multi_touch_attribution_with_interpretation

This is the project that developed for marketing attribution. It is an interpretable deep learning model for marketing problem.
Python
2
star
8

Compiler_buaa

2015_buaa_compiler_extPL0_13061026
C++
1
star
9

DailyProgramming

LeetCode and other trial programs
C++
1
star
10

eShop-via-ROR

This is about e-shop online project, which is an final project about Ruby On Rails. This is a ROR exercise project done in BUAA Ruby course.
Ruby
1
star