Rayman Control Panel

LAMMPS tutorials for both beginners and advanced users

Legacy HLP file support for Windows 11

Presented @ AIX-Summit | Neuroscope is a EEG research data visualization platform to help EEG researchers. 11 different file formats, TONS of adjustable parameters, and all processing is local for research. (EEGLAB and other services of the goal all require subscriptions of 500$+) Shifted to GitHub Feb. 2026 from GitLab

All assignments of Information Technology SPPU

CNTT, also spelled C-entity, is an acronym for Carbon Nano Tube Tool. It's a tool for computing, displaying and manipulating properties of carbon nanotubes.

The Easiest & the Most Accessible. Carbon Nanotubes Generator

Simulation for the conduction between carbon nanotubes (CNTs) in a random network field effect transistor

The source code for the website https://cherokeenewtestament.org/

This Python project uses motion segmentation to detect clusters of people with KNN (K-Nearest Neighbors) and CNT (Codebook Background Subtraction) algorithms.

Ansys Mechanical APDL files for mesh generation and simulation of carbon reinforced composites

CARBONETTE PIPELINE — INTERPRETATION GUIDE

GROMACS implementation of PVDF/CNT FF. PVDF from Sahihi et al. , J. Phys. Chem. C 2021 125 (39), 21635-21644, DOI: 10.1021/acs.jpcc.1c05894. CNT from OPLS-AA.

Docker: Tomcat 7 with additional software such as Openssl, Python 2 and others (based on Alpine)

This project aims to provide a webpage of current weather conditions among various cities, separated by country.

Calculates the price of the CNTs in ADA from Cardano DEX liquidity pool

A multithreaded Python3 implementation of Miller-Rabin probabilistic primality testing.

The script gets at CSV of stimuli from and will create a CNT region file. If each region has only one corresponding column in CSV file, it uses a simple list from parameter file. However, if there are multiple columns for one or more regions, The script will prompt questions which the user need to answer.

Predict the Weather Forecast of 2012 from testing the whole year of 2011 and the first quarter of 2012.

Code for: Explainable Machine Learning and Complex Network Theory to Manage Drinking Water Quality at Customer Taps (Gleeson et al., 2026)