Pinned Repositories
Android_POCs
Android Vulnerability Reports and POCs.
awesome-sentiment-analysis
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
CyberSecurityPracticeCamp
安全牛网络安全实践训练营笔记 , 包含15门课程几百课时的内容 .
datasci-darknet-markets
Example Python code for preprocessing an archive of DarkNet html pages
dataset_test
dataset generation code for darknet
Dictionary-for-Sentiment-Analysis
Senti Strength : http://sentistrength.wlv.ac.uk/
Double-Auction-Simulation-System
Double Auction Simulation System (for single product) with equilibrium match.
Energy-Trading
Energy trading system for neighbor communities using Hyperledger.
FARSEC
用文本过滤和排序方法进行安全缺陷报告预测Python实现，原论文为：Text Filtering and Ranking for Security Bug Report Prediction
ipfs
Peer-to-peer hypermedia protocol
ayesha99's Repositories
ayesha99/CyberSecurityPracticeCamp
安全牛网络安全实践训练营笔记 , 包含15门课程几百课时的内容 .
ayesha99/Android_POCs
Android Vulnerability Reports and POCs.
ayesha99/awesome-sentiment-analysis
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
ayesha99/datasci-darknet-markets
Example Python code for preprocessing an archive of DarkNet html pages
ayesha99/dataset_test
dataset generation code for darknet
ayesha99/Dictionary-for-Sentiment-Analysis
Senti Strength : http://sentistrength.wlv.ac.uk/
ayesha99/Double-Auction-Simulation-System
Double Auction Simulation System (for single product) with equilibrium match.
ayesha99/Energy-Trading
Energy trading system for neighbor communities using Hyperledger.
ayesha99/FARSEC
用文本过滤和排序方法进行安全缺陷报告预测Python实现，原论文为：Text Filtering and Ranking for Security Bug Report Prediction
ayesha99/ipfs
Peer-to-peer hypermedia protocol
ayesha99/liwc-python
Linguistic Inquiry and Word Count (LIWC) analyzer
ayesha99/malware-classification
Data and code for malware classification using machine learning (for fun, not production)
ayesha99/Malware-detection-by-text-and-data-mining
Here, we employed text mining to extract features from the dataset consisting a series of API calls. Later mutual information is calculated for feature selection and machine learning technique is used to train our model.
ayesha99/nether
Detect Ether: Malware Analysis via Hardware Virtualization Extensions
ayesha99/OSINTREALTIMECND
Proactive Computer Network Defense Strategy - OSINT Real Time Threat Stream - Social/DarkNet - Data Mining
ayesha99/py_liwc
A python implementation of the LIWC program (http://www.liwc.net/).
ayesha99/sentiment
sentiment is an R package with tools for sentiment analysis including bayesian classifiers for positivity/negativity and emotion classification.
ayesha99/subjective_logic
ayesha99/twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
ayesha99/twitter-sentiment-analysis-tutorial-201107
Code to reproduce the simple sentiment analysis from my presentation
ayesha99/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.
ayesha99/vulnerabilities
Vulnerability Reports by Aleph Research
ayesha99/Whoogle
Web-based application that allows users to search any public twitter handle and retrieve sentiment analysis on that profile's tweets.
ayesha99/Yellowcab_Taxi
The following is an analysis on the Yellowcab_taxi data in NYC with a simple model for predicting tips
ayesha99/yellowcabs
A simple data pipeline to calculate the monthly average trip length and a 45 days rolling average trip length of NY yellow cabs.