open-source intelligence gathering for SIEMs <3
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Updated
Feb 16, 2017 - Python
open-source intelligence gathering for SIEMs <3
A set of Python scripts that poll Reddit (Poller.py), sift through data (Sifter.py), and format it into a WordDoc (Creator.py). Interaction between user and script is typically done through the custom shell (Definer.py).
A set of Python scripts that poll Reddit (Poller.py), sift through data (Sifter.py), and format it into a WordDoc (Creator.py). Interaction between user and script is typically done through the custom shell (Definer.py).
Use Wind's API in Python to build an automatic update scheme for Mainland Chinese stocks' data
USGS Automated Imaging System (AIS) is a python based webserver which enables scheduling and automated capture from imaging devices attached via GigE, USB, or IP protocols. Its meant to be deployed on SBC or embedded linux systems.
IoT-related research and framework prototypes
Server for the SESC timetable application
Using CNN to predicting the 3 Dimensional location of an object
Auto-clone stock data and MongoDB set up
CSIRO Mineral And Environmental Spectral Sensing Group - environmental monitoring
Statistical Analysis of Professional Photographer’s Estimated Return on Investment (ROI) Turnaround Time. Data mining developed in Python, graphics and analysis developed in R.
Utility to quickly collect (repeatedly) all (available) tweets for a list of users
Metis Web App built using Flask to collect opinions from users on KPI evolutions to use in Machine Learning Anomaly Detection methods.
A python web scraper for public email lists.
Demo module monitoring the progress of fishing
[Web Scraper] A cool Python automation project that automates the menial task of downloading hundreds of audio files.
Scripts to compile historical stock price data from various online sources.
Severity of damage in roads is really important for taking right measures to fix it. A road can be deemed bad for several reasons. We collected our own data using accelerometer sensors in the phone and then scored them using machine learning.
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