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

   Python 2.9k 437

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

   Python 48 5

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

   Python 359 54

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

   Jupyter Notebook 193 24

5. Python package to corrupt arbitrary images.

   Python 466 74

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

   Python 166 38