An R package is designed to perform all noncompartmental analysis (NCA) calculations for pharmacokinetic (PK) data.

Generates XCI/NSP/HFS0/ExeFS/RomFS/Certificate/Ticket dumps from Nintendo Switch gamecards and installed SD/eMMC titles.

PCA-Dino and NCA-Dino is development of Dino-ViT

NCA-SEM module for Jamovi. Necessary Condition Analysis via Structural Equation Modeling (NCA-SEM) is a data analysis method that is used to identify the necessary conditions for a desired outcome

Non-compartmental pharmacokinetics analysis for Julia.

Rust library for pharmacokinetic non-compartmental analysis

Should This Loan be Approved or Denied?

Notes, tutorials, code snippets and templates focused on dimensionality reduction methods for Machine Learning

Code for 'Hierarchical Neural Cellular Automata' (Alife 2023)

This project implements two algorithms, K-Nearest Neighbors (KNN) and Large Margin Nearest Neighbor (LMNN) using the Neighbourhood Component Analysis (NCA) approach.

To determine the dynamic performance characteristics of a battery. This testing determines battery power capability over the cell's usable voltage range.

This repository hosts the code used in the paper "Collective control of modular soft robots via embodied Spiking Neural Cellular Automata"

A project exploring the posibility of using a Neural Cellular Automata to generate stable structures in a physics environment.

openNCA computation engine is an R package that provides for generation of pharmacokinetic parameter estimates using non-compartmental (NCA) pharmacokinetic analysis methods.

Explore various Nintendo Switch file formats (PFS0, NCA) in pure Rust

🦠⚡️ Neural Cellular Automata (NCA) implemented with PyTorch Lightning

Using the Knn algorithm, it detects whether the tumor is benign or malignant in people diagnosed with breast cancer.

The aim of the project, to determine whether the breast cancer cell is malignant or benign.I got the dataset from Kaggle.

automate boring stuff in node js