Python implementation of a data perturbation method to determine relevant features for NN learning

Implementation of two perturbation functions for Knapsack Problem

Second Year project (Module: Artificial Intelligence Methods), focusing on implementing and evaluating AI Optimisation methods.

Dataset of SOSAA model trajectory runs

A Python simulator for modeling gene expression perturbations using a recursive, depth-limited path summation model.

DataArmor is a cutting-edge tool focused on safeguarding privacy in today's data-driven world using K-anonymity L-diversity and t-closeness privacy model. As the sharing of personal and microdata grows, ensuring the protection of individual identities during data publication and analysis becomes essential.

Presentation given to Drexel XAI seminar on "Interpretable Explanations of Black Boxes by Meaningful Perturbation"

A reproducible computational pipeline for processing and analyzing single-cell RNA-seq data with CRISPR perturbations, designed for the Virtual Cell Challenge 2025. Features automated quality control, normalization, class balancing, and batch integration using Snakemake.

M0dular Action System & Interface, Custom AI/AGENT Framework (made by a non-coder)

Exploring perturbation stategies to improve LIME explanations stability.

A demonstration of perturbation of data

Perturbation toolbox to solve DSGE models with Matlab

Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors

MSAffect is a computational pipeline to evaluate the robustness of AlphaFold2 protein structure predictions under adversarial MSA perturbations to identify structural sensitivity and confidence shifts in neural-network-based folding.

Symbolic calculation of the (van Vleck) Floquet recursion formula

Assessing consciousness by perturbing a dynamic mean-field whole-brain model fitted to empirical neuroimaging data

perturbation of coupled model input over a space of input variables

compact: co-expression module perturbation analysis

Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics

Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch