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1. MLI-lab/early_stopping_double_descent MLI-lab/early_stopping_double_descent Public

   Code for reproducing figures and results in the paper ``Early stopping in deep networks: Double descent and how to eliminate it''

   Jupyter Notebook 14 7

2. MLI-lab/candidate_training MLI-lab/candidate_training Public

   Reproducible version of the experiments in "Leveraging inductive bias of neural networks for learning without explicit human annotations"

   Jupyter Notebook 4 1

3. MLI-lab/imagenet_candidate_training MLI-lab/imagenet_candidate_training Public

   Training on noisy Flickr labels without annotators for better classification performance in ImageNet classification problem.

   Jupyter Notebook 1

4. MLI-lab/regularization-wise_double_descent MLI-lab/regularization-wise_double_descent Public

   Jupyter Notebook