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- cabs Public
[CVPR'26] Official codebase for "Concept-Aware Batch Sampling Improves Language-Image Pretraining"
bethgelab/cabs’s past year of commit activity - foolbox Public
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
bethgelab/foolbox’s past year of commit activity - what-moves-the-eyes Public
Project page for "What Moves the Eyes: Doubling Mechanistic Model Performance Using Deep Networks to Discover and Test Cognitive Hypotheses"
bethgelab/what-moves-the-eyes’s past year of commit activity - CiteME Public
CiteME is a benchmark designed to test the abilities of language models in finding papers that are cited in scientific texts.
bethgelab/CiteME’s past year of commit activity - onebench Public
[ACL'25] The official code for "ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities"
bethgelab/onebench’s past year of commit activity - model-vs-human Public
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
bethgelab/model-vs-human’s past year of commit activity
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