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2di70

2DI70

2imv20

TU/e 2IMV20 Visualisation course

b-lrp

B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks

curvature

Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.

dora

GitHub repository for DORA: Data-agnOstic Representation Analysis paper. DORA allows to find outlier representations in Deep Neural Networks.

dual-scale-d3-bar-chart

This is a demo for creating dual-scaled bar charts using D3.js

explainingbnns

idao

invert

Official GitHub for the paper "Labeling Neural Representations with Inverse Recognition"

kfac-pytorch

Natural Gradient Descent using Kronecker-factored Approximate Curvature, implemented in Pytorch for linear and convolutional layers

lapalap.github.io

mark-my-words

Repository for the paper "Mark My Words: Dangers of Watermarked Images in ImageNet"

nhl_visualization

2IMV20 project

spbsu_calculus

SPbSU Calculus class, Python 3.6

spbsu_multithreadrng

Part of SPbSU C++ course, multithread generation comparison with nonparallel computing

spbsu_optimization

SPbSU Optimization task, written in C++

torch-dreams

Making neural networks more interpretable, for research and art :mag_right: :computer: :brain: :art:

torchroar

ROAR benchmark implementation in PyTorch

xai_validation

Repository containing several method for validation and evaluation of different XAI methods