D.W (csuldw)

csuldw

Geek Repo

Company:心似莲花开

Location:ShenZhen

Home Page:http://www.csuldw.com

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D.W's repositories

MachineLearning

Machine learning resources,including algorithm, paper, dataset, example and so on.

AntSpider

1000万豆瓣电影/评论/名人/评分数据采集源码分享(内含千万电影数据集,可下载)

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comment-sentiment-analysis

豆瓣电影短评情感分析(二分类)

FreeSky

Hexo Next主题的修改版FreeSky

EasyNotes

EasyNotes(简记)- sync with gitbook.

awesome-knowledge-graph

整理知识图谱相关学习资料

WorkUtils

Some useful material, including spark, python, linux and so on.

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Chinese

Tools and resources for Chinese texts preprocessing. Validated in two papers, one CCF C, EI indexing and one CCF B, SCI indexing.

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nlp-competitions-list-review

复盘所有NLP比赛的TOP方案,只关注NLP比赛,持续更新中!

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nlp_learning

NLP 以及相关的学习实践

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chinese_chatbot_corpus

中文公开聊天语料库

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Deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

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feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

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nlp_tasks

Natural Language Processing Tasks and References

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RSPapers

Must-read papers on Recommender System.

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Senta

Baidu's open-source Sentiment Classification System.

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vaderSentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

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yang

start tests

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awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

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deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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KitNET-py

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

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Love

My love story with MaryNee

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ModelArts-Lab

ModelArts开发者交流互动平台,@ModelArts服务官网:https://www.huaweicloud.com/product/modelarts.html

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nlp_exp

nlp-related experiment.

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tflearn

Deep learning library featuring a higher-level API for TensorFlow.

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wikipedia-data-science

Working with and analyzing Wikipedia Data

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