Single-cell perturbation analysis

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

Symbolic Perturbation Theory (SymPT) is a Python package for symbolic perturbative transformations on quantum systems. SymPT helps compute effective Hamiltonians for both time-independent and time-dependent systems at both operator and matrix level.

ICASSP 2021 accepted paper

Single-cell Analysis of Perturbational Effects using Machine Learning

Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch

perturbation of coupled model input over a space of input variables

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.

A demonstration of perturbation of data

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

Exploring perturbation stategies to improve LIME explanations stability.

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

Implementation of two perturbation functions for Knapsack Problem

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