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limengmingx's Projects

alexa-top-sites icon alexa-top-sites

Python library to fetch the top 1..N (where N < 1 million) sites from alexa

alexa-topsites icon alexa-topsites

A Python script to scrape the top sites from for a particular country

alexa500website icon alexa500website

Scraping the top 500 websites from alexa(name and Rank) and putting the outpout in json file using command to scrape "scrapy crawl alexa.com -o alexa.json"

aptmalwarenotes icon aptmalwarenotes

A repository of open source reports on different malware families used in targeted cyber intrusions ("APT").

attackintel icon attackintel

A python script to query the MITRE ATT&CK API for tactics, techniques, mitigations, & detection methods for specific threat groups.

beef icon beef

The Browser Exploitation Framework Project

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

chinesenlpcorpus icon chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。

cnn-text-classification icon cnn-text-classification

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

cnn_text_classification icon cnn_text_classification

A PyTorch CNN for classifying the sentiment of movie reviews, based on the paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim (2014).

cti icon cti

Cyber Threat Intelligence Repository expressed in STIX 2.0

cti-pattern-validator icon cti-pattern-validator

OASIS TC Open Repository: Validate patterns used to express CybOX content in STIX Indicators

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dependency-parsing-trainer icon dependency-parsing-trainer

This Project trains a dependency parser using Neural Network to parse sentences. This dependency parser would further be used to generate labels for Wikipedia page. We would find out the sentences in each page with links to other pages. The semantic relationship between link and page title would be the labels for this wikipedia page.

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