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Lennart Brocki's Projects

cdam icon cdam

Official implementation of CDAM

concept-saliency-maps icon concept-saliency-maps

Contains the jupyter notebooks to reproduce the results of the paper "Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models" https://arxiv.org/pdf/1910.13140.pdf

conrad icon conrad

Code to reproduce the results of our ConRad paper

deepexplain icon deepexplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

dino icon dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

gitignore icon gitignore

A collection of useful .gitignore templates

nobias-rectified-gradient icon nobias-rectified-gradient

We introduce a modification of Rectified Gradient. This repository is forked from https://github.com/1202kbs/Rectified-Gradient

saliency icon saliency

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

sliceviewer icon sliceviewer

Simple Jupyter widget for viewing slices of 3D images

transformer-mm-explainability icon transformer-mm-explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

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