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Pinned repositories
Repositories
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notorious_difficulty_of_comparing_human_and_machine_perception
Code for the three case studies: Closed Contour Detection, Synthetic Visual Reasoning Test, Recognition Gap
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game-of-noise
Trained model weights, training and evaluation code from the paper "Increasing the robustness of DNNs against image corruptions by playing the Game of Noise"
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bwki-weekly-tasks
BWKI Task of the week
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foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
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magapi-wrapper
Wrapper around Microsoft Academic Knowledge API to retrieve MAG data
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openimages2coco
Convert Open Images annotations into MS Coco format to make it a drop in replacement
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siamese-mask-rcnn
Siamese Mask R-CNN model for one-shot instance segmentation
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AnalysisBySynthesis
Adversarially Robust Neural Network on MNIST.
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stylize-datasets
A script that applies the AdaIN style transfer method to arbitrary datasets
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DeepLabCut
Forked from DeepLabCut/DeepLabCutMarkerless tracking of user-defined features with deep learning
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imagecorruptions
Python package to corrupt arbitrary images.
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mmdetection
Forked from open-mmlab/mmdetectionFork of the MMDetection Toolbox containing the Robustness Benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (merged)
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robust-detection-benchmark
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
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texture-vs-shape
Forked from rgeirhos/texture-vs-shapePre-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)
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docker-deeplearning
Development of new unified docker container (WIP)
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mnist_challenge
Forked from MadryLab/mnist_challengeA challenge to explore adversarial robustness of neural networks on MNIST.
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cifar10_challenge
Forked from MadryLab/cifar10_challengeA challenge to explore adversarial robustness of neural networks on CIFAR10.
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convex_adversarial
Forked from dtsip/convex_adversarialA method for training neural networks that are provably robust to adversarial attacks.
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adversarial-vision-challenge
NIPS Adversarial Vision Challenge
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decompose
Blind source separation based on the probabilistic tensor factorisation framework
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docker
Information and scripts to run and develop the Bethge Lab Docker containers
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robust-vision-benchmark
Robust Vision Benchmark
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docker-xserver
Docker Image with Xserver, OpenBLAS and correct user settings
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docker-jupyter-scipyserver
Docker Image with Jupyter for Scientific Computing (Numpy, Scipy, Theano, Bokeh, etc.)
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mesos
Development of Mesos cluster
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docker-jupyter-torch
Docker Image with Jupyter for Deep Learning including Torch
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docker-jupyter-deeplearning
Docker Image with Jupyter for Deep Learning (Caffe, Theano, Lasagne, Keras)