lapalap
PhD Student @ TU Berlin, ML Department
@understandable-machine-intelligence-lab Berlin, Germany
Pinned Repositories
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
invert
Official GitHub for the paper "Labeling Neural Representations with Inverse Recognition"
lapalap.github.io
mark-my-words
Repository for the paper "Mark My Words: Dangers of Watermarked Images in ImageNet"
torchROAR
ROAR benchmark implementation in PyTorch
lapalap's Repositories
lapalap/dora
GitHub repository for DORA: Data-agnOstic Representation Analysis paper. DORA allows to find outlier representations in Deep Neural Networks.
lapalap/B-LRP
B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
lapalap/invert
Official GitHub for the paper "Labeling Neural Representations with Inverse Recognition"
lapalap/mark-my-words
Repository for the paper "Mark My Words: Dangers of Watermarked Images in ImageNet"
lapalap/lapalap.github.io
lapalap/torchROAR
ROAR benchmark implementation in PyTorch
lapalap/2DI70
2DI70
lapalap/2IMV20
TU/e 2IMV20 Visualisation course
lapalap/curvature
Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
lapalap/Dual-scale-D3-Bar-Chart
This is a demo for creating dual-scaled bar charts using D3.js
lapalap/explainingBNNs
lapalap/IDAO
lapalap/kfac-pytorch
Natural Gradient Descent using Kronecker-factored Approximate Curvature, implemented in Pytorch for linear and convolutional layers
lapalap/NHL_Visualization
2IMV20 project
lapalap/spbsu_calculus
SPbSU Calculus class, Python 3.6
lapalap/spbsu_multithreadRNG
Part of SPbSU C++ course, multithread generation comparison with nonparallel computing
lapalap/spbsu_optimization
SPbSU Optimization task, written in C++
lapalap/torch-dreams
Making neural networks more interpretable, for research and art :mag_right: :computer: :brain: :art:
lapalap/xai_validation
Repository containing several method for validation and evaluation of different XAI methods