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

Perturbation Analysis in the scverse ecosystem.

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

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

Macros and functions to work with DSGE models.

Source code for lecture notes

Sophisticated astrodynamics and space mission simulator. Calculate n-body trajectories, perform orbital maneuvers, apply various perturbations, generate plots, and more! Minimal dependencies.

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

perturbation of coupled model input over a space of input variables

Mandelbrot Generator based on perturbation and series approximation

compact: co-expression module perturbation analysis

Single-cell Analysis of Perturbational Effects using Machine Learning

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

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

Perturbation toolbox to solve DSGE models with Matlab

A demonstration of perturbation of data