@SunnyMarkLiu
  • Stars
    star
    504
  • Global Rank 57,392 (Top 2 %)
  • Followers 221
  • Following 282
  • Registered almost 9 years ago
  • Most used languages
    Python
    40.0 %
    Java
    20.0 %

Top repositories

1

Naive_Bayes_Meet_Adaboost

📧 Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.
Python
157
star
2

lic2019-dureader2.0-rank2

Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.
Python
127
star
3

datacastle_travel_services_predict-rank5

第二届智慧中国杯精品旅行服务成单预测 Rank 5(AUC 0.97539)解决方案
Jupyter Notebook
67
star
4

les-military-mrc-rank7

莱斯杯:全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案
Jupyter Notebook
38
star
5

Design-Patterns-Java

Awesome Design Patterns Implemented in Java.
Java
23
star
6

Maven-Spring-SpringMVC-Mybatis

basic Maven + Spring + SpringMVC + Mybatis Demo
Java
17
star
7

Kaggle-House-Prices

Kaggle House Prices: Advanced Regression Techniques.Public Leaderboard Score 0.12076.
Jupyter Notebook
15
star
8

MachineLearning-DeepLearning-Papers

📝 My Machine Learning & Deep Learning Papers Notes.
13
star
9

ml-dl-notes

Machine learning and Deep learning notes.
11
star
10

semantic-textual-similarity-rank23

Rank23 in PaiPaiDai AI Talks Semantic Similarity Competition.
Jupyter Notebook
7
star
11

tensorflow_text_classification

Implementing multi models for Text Classification in TensorFlow.
Python
6
star
12

Deep_Learning_In_Action

Learn and implement Deep learning models using tensorflow. Don't clone/fork me now, it's imcomplete!
Python
5
star
13

Machine_Learning_In_Action

Machine Learning algorithms code by Python from scratch
Python
4
star
14

leetcode_in_nowcoder

牛客网 LeetCode 148道经典编程题
Java
2
star
15

paper-notes-monthly

Record intensive reading articles and papers monthly.
2
star
16

Kaggle_NYC_Taxi_Trip_Duration

🚗 Kaggle Competition: New York City Taxi Trip Duration
Jupyter Notebook
1
star
17

LeetCode

Leet Code Solutions
Python
1
star
18

Kaggle_Russian_Housing_Market

Kaggle Sberbank Russian Housing Market Competition. The final result is 56/3264 (top2%)
Jupyter Notebook
1
star