Perturbation Analysis in the scverse ecosystem.
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Updated
Jun 2, 2024 - Python
Perturbation Analysis in the scverse ecosystem.
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!
Single-cell Analysis of Perturbational Effects using Machine Learning
perturbation of coupled model input over a space of input variables
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
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Mandelbrot Generator based on perturbation and series approximation
Dataset of SOSAA model trajectory runs
Mandelbrot fractal visualizer featuring perturbation based iteration methods, series approximation and multithreading.
GUI for rust-fractal-core, a mandelbrot fractal visualizer featuring perturbation based iteration methods, series approximation and multithreading.
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
Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics
Perturbation toolbox to solve DSGE models with Matlab
Presentation given to Drexel XAI seminar on "Interpretable Explanations of Black Boxes by Meaningful Perturbation"
Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch
Implementation of two perturbation functions for Knapsack Problem
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