bethgelab/decompose

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43
Rank 645,449 (Top 13 %)
Language
Python
License
MIT License
Created over 6 years ago
Updated over 6 years ago

bethgelab/decompose

bethgelab

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Blind source separation based on the probabilistic tensor factorisation framework

foolbox

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

imagecorruptions

Python package to corrupt arbitrary images.

siamese-mask-rcnn

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

Jupyter Notebook

model-vs-human

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

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

stylize-datasets

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

robustness

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

openimages2coco

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

Jupyter Notebook

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.

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"

adversarial-vision-challenge

NIPS Adversarial Vision Challenge

CiteME

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

InDomainGeneralizationBenchmark

robust-vision-benchmark

Robust Vision Benchmark

docker

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

slurm-monitoring-public

Monitor your high performance infrastructure configured over slurm using TIG stack

google_scholar_crawler

Crawl Google scholar publications and authors

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

testing_visualizations

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

docker-deeplearning

Development of new unified docker container (WIP)

sort-and-search

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

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

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

gym-Atari-SpaceInvaders-V0

bwki-weekly-tasks

BWKI Task of the week

Jupyter Notebook