Jiajie Yan (@jiaeyan)
  • Stars
    star
    590
  • Global Rank 49,794 (Top 2 %)
  • Followers 51
  • Following 12
  • Registered about 8 years ago
  • Most used languages
    Python
    90.9 %
    Java
    9.1 %
  • Location 🇺🇸 United States
  • Country Total Rank 13,141
  • Country Ranking
    Python
    2,299

Top repositories

1

Jiayan

甲言,专注于古代汉语(古汉语/古文/文言文/文言)处理的NLP工具包,支持文言词库构建、分词、词性标注、断句和标点。Jiayan, the 1st NLP toolkit designed for Classical Chinese, supports lexicon construction, tokenizing, POS tagging, sentence segmentation and punctuation.
Python
495
star
2

chinese-rhymer

轻量中文押韵神器,100%绝对可用,傻瓜式命令行操作,秒速实现烈焰单押,闪电双押,龙卷三押以及海啸式四押,目前版本 v0.2.6。Search for rhymes for Chinese words, with 1, 2, 3 and 4 characters, released on PyPI with current version of 0.2.6.
Python
79
star
3

Machine-Learning-Plate

Various machine learning algorithm implementation tastes made of Python and Numpy. Enjoy!
Python
3
star
4

yugioh-card-data

A Yu-Gi-Oh card collector based on YGOPRO ADS game data.
Python
3
star
5

RelationExtraction

Implementation of relation extraction between entities in texts, feature engineering with Maximum Entropy template, provided by Mallet.
Python
2
star
6

Maximum-Entropy-Model

An implementation of MaxEnt, with Mini-batch Stochastic Gradient approach to get the optimized parameters.
Python
2
star
7

Convolutional-Neural-Network

A CNN model performs discourse sense relation between 2 sentences, built with TensorFlow.
Python
1
star
8

Minimum-Edit-Distance

A Python implementation of minimum edit distance, reports minimum cost and use backpointers to alignment between source and target strings.
Python
1
star
9

Operating-Systems

Implementation of multi-threading, synchronization and various operating system theories in Java.
Java
1
star
10

Hidden-Markov-Model

An implementation of HMM with Numpy matrices, Viterbi, Forward, Backward, EM algorithms and Baum-Welch (forward-backward) algorithm involved.
Python
1
star
11

Information-Retrieval

A class to perform various information retrieval techniques. TF-IDF algorithm includes keywords extraction, documents searching by keyword list, similar documents searching and text summarization.
Python
1
star