Discover bethgelab/testing_visualizations Open Source project

This repository has been archived on 25/May/2023
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bethgelab

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Code for the paper " Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations"

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Python

2,733

imagecorruptions

Python package to corrupt arbitrary images.

Python

409

siamese-mask-rcnn

Siamese Mask R-CNN model for one-shot instance segmentation

Jupyter Notebook

346

model-vs-human

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

Python

333

robust-detection-benchmark

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

Jupyter Notebook

182

stylize-datasets

A script that applies the AdaIN style transfer method to arbitrary datasets

Python

155

robustness

Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

Python

128

openimages2coco

Convert Open Images annotations into MS Coco format to make it a drop in replacement

Jupyter Notebook

112

slow_disentanglement

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Jupyter Notebook

frequency_determines_performance

Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance" [NeurIPS'24]

Jupyter Notebook

AnalysisBySynthesis

Adversarially Robust Neural Network on MNIST.

Python

game-of-noise

Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image corruptions"

Python

decompose

Blind source separation based on the probabilistic tensor factorisation framework

Python

adversarial-vision-challenge

NIPS Adversarial Vision Challenge

Python

CiteME

CiteME is a benchmark designed to test the abilities of language models in finding papers that are cited in scientific texts.

Python

InDomainGeneralizationBenchmark

Python

robust-vision-benchmark

Robust Vision Benchmark

Python

docker

Information and scripts to run and develop the Bethge Lab Docker containers

Makefile

slurm-monitoring-public

Monitor your high performance infrastructure configured over slurm using TIG stack

Python

google_scholar_crawler

Crawl Google scholar publications and authors

Python

DataTypeIdentification

Code for the ICLR'24 paper: "Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models"

magapi-wrapper

Wrapper around Microsoft Academic Knowledge API to retrieve MAG data

Python

docker-deeplearning

Development of new unified docker container (WIP)

Python

sort-and-search

Code for the paper: "Efficient Lifelong Model Evaluation in an Era of Rapid Progress" [NeurIPS'24]

Python

notorious_difficulty_of_comparing_human_and_machine_perception

Code for the three case studies: Closed Contour Detection, Synthetic Visual Reasoning Test, Recognition Gap

Jupyter Notebook

lifelong-benchmarks

Benchmarks introduced in the paper: "Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress"

tools

Shell

docker-jupyter-deeplearning

Docker Image with Jupyter for Deep Learning (Caffe, Theano, Lasagne, Keras)

docker-xserver

Docker Image with Xserver, OpenBLAS and correct user settings

Shell

gym-Atari-SpaceInvaders-V0

Python

bwki-weekly-tasks

BWKI Task of the week

Jupyter Notebook

bethgelab/testing_visualizations

bethgelab

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