There are 4 repositories under research-tools topic.
:seedling: a curated list of tools to help you with your research/life; I built a front end around this repo, please use the link below [This repo is Not Maintained Anymore]
Python implementation of the Packed Executable iDentifier (PEiD)
RPL attacks framework for simulating WSN with a malicious mote based on Contiki
Tinyscript tool for sorting and exporting Zotero references based on pyzotero
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
Analysis tool for estimating the likelihood that a binary contains compressed or encrypted bytes
BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.
A powerful and automatic awesome list generator leveraging GPT models. Enter your keyword and its description to get a comprehensive list of resources in Markdown format
Packing detection tool for PE files
A useful toolbox for research.
in10search Tabs Sidepanel AI - Horizontal Tabs in Browser Sidepanel with ChatGPT * DEMO Chrome Extension
A Selenium IDE script facilitating the automated retrieval of the most current Astrophysics research paper PDFs from the arXiv website.
Let's sift through papers! SciSift uses Claude-2-100K to extract information from papers in a ready to use .JSON format. You can chat with papers !
BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.
Implementation of the packing detection heuristic from the paper "Packed PE File Detection for Malware Forensics" of Han et al.
This project focuses on automating the analysis and reporting of bibliometric data, specifically targeting the annual production of academic articles. The primary goal is to understand trends, anomalies, and patterns in bibliometric data through a combination of statistical modeling and exploratory data analysis.
Python tool for calculating inter-rater reliability metrics and generating comprehensive reports for multi-rater datasets. Optionally have an LLM create an interpretation report.
A grid segmentation algorithm for clustering crystal structures using diffraction patterns. Useful in material science and nanotechnology, this code enables detailed analysis of crystals for research and industrial applications.
Examples and computations of notable elements in the ideal class monoid of a numerical semigroups