Role in this project:
ML Engineer Contributions:7 releases, 1 review, 73 commits in 2 years 3 months
Contributions summary:Andrew primarily contributes to the development and improvement of machine learning models within the robustness library. Their work includes linking to model checkpoints, adding support for random starts in training, and introducing a custom dataset for ImageNet. Further contributions involve changing default training parameters for ImageNet and documenting the use of the library and its pretrained models.