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    • Python implementation of psignifit, for psychometric function estimation
      Jupyter Notebook
      Other
      2657164Updated Nov 27, 2024Nov 27, 2024
    • posters

      Public
      Here we share our posters and preprints, for example, for easy access on conferences.
      0000Updated Sep 16, 2024Sep 16, 2024
    • cblearn

      Public
      For reference, a fork of our ordinal embedding toolbox. For contributions, use the original repository.
      Python
      MIT License
      9000Updated Jun 12, 2024Jun 12, 2024
    • Python
      0000Updated May 9, 2024May 9, 2024
    • Python
      0600Updated May 9, 2024May 9, 2024
    • Psychophysical experiments with high luminance resolution in Python, using Psychopy and VPixx devices
      Python
      GNU Lesser General Public License v3.0
      55112Updated Mar 14, 2024Mar 14, 2024
    • Data and code from "Estimating the perceived dimension of psychophysical stimuli using triplet accuracy and hypothesis testing"
      Jupyter Notebook
      GNU General Public License v3.0
      1200Updated Jan 17, 2024Jan 17, 2024
    • Model as described in Schuett & Wichmann 2017
      MATLAB
      MIT License
      0500Updated Dec 18, 2022Dec 18, 2022
    • Error consistency: a black-box analysis for comparing errors between decision makers (NeurIPS 2020)
      R
      1810Updated Nov 23, 2022Nov 23, 2022
    • Code for "Trivial or impossible—dichotomous data difficulty masks model differences (on ImageNet and beyond)" (ICLR 2022)
      Jupyter Notebook
      0700Updated Mar 15, 2022Mar 15, 2022
    • In the team project summer term 2021, students are working on automating image manipulation using professional photography software.
      Lua
      MIT License
      1321Updated Nov 23, 2021Nov 23, 2021
    • psignifit

      Public
      Toolbox for Bayesian inference for psychometric functions
      MATLAB
      106620Updated Nov 12, 2021Nov 12, 2021
    • Official repository for the paper "How Well do Feature Visualizations Support Causal Understanding of CNN Activations?".
      3000Updated Jul 28, 2021Jul 28, 2021
    • A script that applies the AdaIN style transfer method to arbitrary datasets
      Python
      Other
      37000Updated Jul 5, 2021Jul 5, 2021
    • Python
      2000Updated Jun 24, 2021Jun 24, 2021
    • Run CLIP inference on the ImageNet dataset and use these inferences as labels to train other models and again evaluate the trained model on Imagenet validation dataset using original labels or CLIP labels
      Python
      BSD 3-Clause "New" or "Revised" License
      5000Updated Jun 21, 2021Jun 21, 2021
    • Benchmark your model on out-of-distribution datasets with carefully collected human comparison data
      Python
      49000Updated Jun 18, 2021Jun 18, 2021
    • bds

      Public
      Bayesian difference scaling. Statistical models for analyzing difference scaling experiments.
      Stan
      GNU General Public License v3.0
      1200Updated Apr 26, 2021Apr 26, 2021
    • Python package to corrupt arbitrary images.
      Python
      Apache License 2.0
      66000Updated Mar 31, 2021Mar 31, 2021
    • Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (arXiv 2020)
      Python
      13000Updated Apr 21, 2020Apr 21, 2020
    • MATLAB
      0000Updated Mar 16, 2020Mar 16, 2020
    • Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (arXiv 2019)
      Jupyter Notebook
      MIT License
      24000Updated Jul 17, 2019Jul 17, 2019
    • Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
      Python
      MIT License
      63100Updated May 2, 2019May 2, 2019
    • Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
      R
      102000Updated Apr 23, 2019Apr 23, 2019
    • Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)
      R
      Other
      21000Updated Aug 28, 2018Aug 28, 2018
    • Data and materials from the paper "Comparing deep neural networks against humans: object recognition when the signal gets weaker" (arXiv 2017)
      MATLAB
      Other
      18000Updated Oct 16, 2017Oct 16, 2017