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RubenHaisma / robustness-eval

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A small, referenceable corruption-robustness benchmark for image classifiers (ImageNet-C / CIFAR-10-C style). Train clean, grade under corruption × severity, report the robustness gap. Agent-drivable --json CLI.

cli benchmark machine-learning computer-vision corruption scikit-learn pytorch agents codex model-evaluation robustness mlflow imagenet-c distribution-shift marimo claude-code agents-md cifar-10-c
  • Updated Jun 8, 2026
  • Python

Sappymukherjee214 / robust-vision-research

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A research-grade PyTorch framework for robust object recognition under extreme environmental noise. Implements self-supervised Denoising Autoencoders (DAE) with ResNet/ViT architectures on the official CIFAR-10-C benchmark. Includes Grad-CAM interpretability and automated robustness benchmarking.

computer-vision deep-learning grad-cam pytorch explainable-ai denoising-autoencoder vision-transformer cifar-10-c research-benchmark
  • Updated Mar 16, 2026
  • Python

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