[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
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Updated
Jan 24, 2024 - Jupyter Notebook
[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.
Perturbation Analysis in the scverse ecosystem.
Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics
Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors
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!
scPerturb: A resource and a python/R tool for single-cell perturbation data
perturbation of coupled model input over a space of input variables
Perturbation toolbox to solve DSGE models with Matlab
Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch
Single-cell Analysis of Perturbational Effects using Machine Learning
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
Second Year project (Module: Artificial Intelligence Methods), focusing on implementing and evaluating AI Optimisation methods.
Dataset of SOSAA model trajectory runs
Implementation of two perturbation functions for Knapsack Problem
GUI for rust-fractal-core, a mandelbrot fractal visualizer featuring perturbation based iteration methods, series approximation and multithreading.
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