[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

scPerturb: A resource and a python/R tool for single-cell perturbation data

Perturbation Analysis in the scverse ecosystem.

Source code for lecture notes

Macros and functions to work with DSGE models.

Sophisticated space mission simulator. Calculate n-body trajectories, perform orbital maneuvers, apply various perturbations, plot variables, and more!

Mandelbrot fractal visualizer featuring perturbation based iteration methods, series approximation and multithreading.

ICASSP 2021 accepted paper

GUI for rust-fractal-core, a mandelbrot fractal visualizer featuring perturbation based iteration methods, series approximation and multithreading.

Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch

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

Mandelbrot Generator based on perturbation and series approximation

perturbation of coupled model input over a space of input variables

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

Perturbation toolbox to solve DSGE models with Matlab

Single-cell Analysis of Perturbational Effects

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

A demonstration of perturbation of data

Implementation of two perturbation functions for Knapsack Problem