bethgelab/foolbox

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

Language: Python - Size: 10.7 MB - Last synced: 12 days ago - Pushed: about 2 months ago - Stars: 2,667 - Forks: 420

bethgelab/imagecorruptions

Python package to corrupt arbitrary images.

Language: Python - Size: 4.94 MB - Last synced: 22 days ago - Pushed: 11 months ago - Stars: 375 - Forks: 61

bethgelab/slow_disentanglement

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Language: Jupyter Notebook - Size: 1.47 MB - Last synced: 1 day ago - Pushed: over 2 years ago - Stars: 70 - Forks: 12

bethgelab/frequency_determines_performance

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

Language: Jupyter Notebook - Size: 96.1 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 29 - Forks: 4

bethgelab/model-vs-human

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

Language: Python - Size: 26.4 MB - Last synced: about 1 month ago - Pushed: 4 months ago - Stars: 319 - Forks: 43

bethgelab/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"

Language: Python - Size: 2.44 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 61 - Forks: 11

bethgelab/siamese-mask-rcnn

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

Language: Jupyter Notebook - Size: 84.8 MB - Last synced: about 2 months ago - Pushed: about 4 years ago - Stars: 339 - Forks: 61

bethgelab/AnalysisBySynthesis

Adversarially Robust Neural Network on MNIST.

Language: Python - Size: 5.17 MB - Last synced: about 2 months ago - Pushed: over 2 years ago - Stars: 64 - Forks: 19

bethgelab/sort-and-search

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

Language: Python - Size: 848 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 2 - Forks: 0

bethgelab/lifelong-benchmarks

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

Size: 0 Bytes - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

bethgelab/DataTypeIdentification

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

Size: 12.7 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 8 - Forks: 0

bethgelab/stylize-datasets

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

Language: Python - Size: 28.3 KB - Last synced: 5 months ago - Pushed: almost 3 years ago - Stars: 149 - Forks: 35

bethgelab/robustness

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

Language: Python - Size: 500 KB - Last synced: 6 months ago - Pushed: 11 months ago - Stars: 113 - Forks: 4

bethgelab/robust-detection-benchmark

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

Language: Jupyter Notebook - Size: 29.3 MB - Last synced: 5 months ago - Pushed: almost 5 years ago - Stars: 174 - Forks: 25

bethgelab/decompose

Blind source separation based on the probabilistic tensor factorisation framework

Language: Python - Size: 269 KB - Last synced: 20 days ago - Pushed: almost 6 years ago - Stars: 43 - Forks: 11

bethgelab/InDomainGeneralizationBenchmark

Language: Python - Size: 2.73 MB - Last synced: 6 months ago - Pushed: almost 3 years ago - Stars: 30 - Forks: 5

bethgelab/openimages2coco

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

Language: Jupyter Notebook - Size: 20.9 MB - Last synced: 7 months ago - Pushed: almost 4 years ago - Stars: 100 - Forks: 19

bethgelab/magapi-wrapper

Wrapper around Microsoft Academic Knowledge API to retrieve MAG data

Language: Python - Size: 25.4 KB - Last synced: 26 days ago - Pushed: almost 4 years ago - Stars: 10 - Forks: 3

bethgelab/testing_visualizations 📦

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

Language: Python - Size: 9.02 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 10 - Forks: 2

bethgelab/DeepLabCut Fork of DeepLabCut/DeepLabCut

Markerless tracking of user-defined features with deep learning

Language: Python - Size: 142 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 2

bethgelab/slurm-monitoring-public

Monitor your high performance infrastructure configured over slurm using TIG stack

Language: Python - Size: 275 KB - Last synced: 10 months ago - Pushed: about 2 years ago - Stars: 12 - Forks: 5

bethgelab/adversarial-vision-challenge

NIPS Adversarial Vision Challenge

Language: Python - Size: 23.9 MB - Last synced: about 1 month ago - Pushed: over 5 years ago - Stars: 40 - Forks: 12

bethgelab/robust-vision-benchmark

Robust Vision Benchmark

Language: Python - Size: 100 MB - Last synced: 12 days ago - Pushed: over 6 years ago - Stars: 21 - Forks: 2

bethgelab/tools

Language: Shell - Size: 202 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 6 - Forks: 0

bethgelab/notorious_difficulty_of_comparing_human_and_machine_perception

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

Language: Jupyter Notebook - Size: 38 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 6 - Forks: 2

bethgelab/google_scholar_crawler

Crawl Google scholar publications and authors

Language: Python - Size: 89.8 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 7 - Forks: 1

bethgelab/cifar10_challenge Fork of MadryLab/cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

Language: Python - Size: 158 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 1 - Forks: 1

bethgelab/inference_results_v1.1 Fork of mlcommons/inference_results_v1.1

Size: 192 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

bethgelab/bwki-weekly-tasks

BWKI Task of the week

Language: Jupyter Notebook - Size: 856 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 3

bethgelab/mmdetection Fork of open-mmlab/mmdetection

Fork of the MMDetection Toolbox containing the Robustness Benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (merged)

Language: Python - Size: 2.51 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 3 - Forks: 4

bethgelab/mnist_challenge Fork of MadryLab/mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

Language: Python - Size: 31.3 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 2 - Forks: 2

bethgelab/docker-deeplearning

Development of new unified docker container (WIP)

Language: Python - Size: 72.3 KB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 8 - Forks: 5

bethgelab/docker-jupyter-deeplearning

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

Size: 38.1 KB - Last synced: about 1 year ago - Pushed: over 7 years ago - Stars: 6 - Forks: 5

bethgelab/texture-vs-shape Fork of rgeirhos/texture-vs-shape

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)

Language: R - Size: 144 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 2

bethgelab/foolbox-zoo-dummy

Language: Python - Size: 1000 Bytes - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

bethgelab/defensive-distillation Fork of lengstrom/defensive-distillation

Language: Python - Size: 3.13 MB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

bethgelab/docker-xserver

Docker Image with Xserver, OpenBLAS and correct user settings

Language: Shell - Size: 18.6 KB - Last synced: about 1 year ago - Pushed: about 7 years ago - Stars: 2 - Forks: 0

bethgelab/convex_adversarial Fork of dtsip/convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

Language: Python - Size: 5.97 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 1

bethgelab/docker

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

Language: Makefile - Size: 35.2 KB - Last synced: 2 months ago - Pushed: about 6 years ago - Stars: 20 - Forks: 6

bethgelab/gym-Atari-SpaceInvaders-V0

Language: Python - Size: 12.7 KB - Last synced: about 1 year ago - Pushed: over 7 years ago - Stars: 1 - Forks: 0

bethgelab/mesos

Development of Mesos cluster

Language: Makefile - Size: 4.88 KB - Last synced: about 1 year ago - Pushed: over 7 years ago - Stars: 0 - Forks: 0

bethgelab/docker-jupyter-torch

Docker Image with Jupyter for Deep Learning including Torch

Language: CMake - Size: 12.7 KB - Last synced: about 1 year ago - Pushed: over 7 years ago - Stars: 0 - Forks: 2

bethgelab/docker-jupyter-scipyserver

Docker Image with Jupyter for Scientific Computing (Numpy, Scipy, Theano, Bokeh, etc.)

Language: Shell - Size: 27.3 KB - Last synced: about 1 year ago - Pushed: over 7 years ago - Stars: 0 - Forks: 0

bethgelab/docker-jupyter-scipyserver-base

Docker Image with Jupyter for Scientific Computing (Numpy, Scipy)

Language: Shell - Size: 5.86 KB - Last synced: about 1 year ago - Pushed: over 7 years ago - Stars: 0 - Forks: 0

bethgelab/docker-jupyter-notebook

Docker Image with Jupyter Notebook based on bethgelab/docker-xserver

Size: 7.81 KB - Last synced: about 1 year ago - Pushed: over 7 years ago - Stars: 0 - Forks: 0