├── .gitignore ├── AlexNet-Baseline-Ensemble.ipynb ├── AlexNet-Baseline-wDropout.ipynb ├── AlexNet-Baseline.ipynb ├── AlexNet-Generalization-Gap.ipynb ├── AlexNet-RankCollapse.ipynb ├── AlexNet-Regularized.ipynb ├── AlexNet-pytorch-MPFit.ipynb ├── AlexNet-pytorch.ipynb ├── All-pytorch-models-wCNNs-Slices.ipynb ├── All-pytorch-models-wCNNs.ipynb ├── All-pytorch-models.ipynb ├── All-pytorch-ranks.ipynb ├── Automated-MPFit.ipynb ├── CalibrateLargeNPL.ipynb ├── CalibratePowerLawFits.ipynb ├── EvenMore-pytorch-models-Accuracies-Copy1.ipynb ├── EvenMore-pytorch-models-Accuracies.ipynb ├── EvenMore-pytorch-models-OSMR.ipynb ├── EvenMore-pytorch-models.ipynb ├── GaussianRMT.ipynb ├── HeavyTailedUniversalityClasses.ipynb ├── Inception-pytorch.ipynb ├── Keras-PowerLaws.ipynb ├── Keras-Save-Load-Test.ipynb ├── LeNet5.ipynb ├── MLP3-Basline.ipynb ├── Marchenko_Pastur_Plots.ipynb ├── PowerLawAccuracyTest.ipynb ├── README.md ├── RMT_Util.ipynb ├── Spiked-Covariance-Model.ipynb ├── WeightWatcherTest.ipynb ├── WeightWatchers.ipynb ├── WordEmbeddingMatrices.ipynb ├── accuracies ├── allennlp ├── AllenNLP_PowerLaws.ipynb ├── AllenNLP_Ranks.ipynb ├── README.md ├── __init__.py ├── allennlp.dat ├── analyze.py ├── coref.dat ├── cp.dat ├── elmo.dat ├── mac.dat ├── ner.dat ├── rank.py ├── run_analyzers.sh └── srl.dat └── img ├── CondenseNet_top1.png ├── CondenseNet_top5.png ├── DPN_top1.png ├── DPN_top5.png ├── DenseNet_top1.png ├── DenseNet_top5.png ├── FDMobileNet_top1.png ├── FDMobileNet_top5.png ├── MeNet_top1.png ├── MeNet_top5.png ├── MobileNetV2_top1.png ├── MobileNetV2_top5.png ├── MobileNet__top1.png ├── MobileNet__top5.png ├── MobileNet_top1.png ├── MobileNet_top5.png ├── ResNet_Large_top1.png ├── ResNet_Large_top5.png ├── ResNet_Small_top1.png ├── ResNet_top1.png ├── ResNet_top5.png ├── SeResNe(X)t_top1.png ├── SeResNe(X)t_top5.png ├── SeResNeXt_top5.png ├── SeResNet_top1.png ├── SeResNet_top5.png ├── SeResNext_top1.png ├── ShuffleNet_top1.png ├── ShuffleNet_top5.png ├── SqueezeNet_top1.png ├── SqueezeNet_top5.png ├── alexnet-fc1-full.png ├── alexnet-fc1.png ├── alexnet-fc2-full.png ├── alexnet-fc2.png ├── alexnet-fc3-full.png ├── alexnet-fc3.png ├── alexnet-log-log-fc1.png ├── alexnet-log-log-fc2-overlay.png ├── alexnet-log-log-fc2.png ├── alexnet-log-log-fc3-overlay.png ├── alexnet-log-log-fc3.png ├── allennlp.png ├── allennlp_svals.png ├── alpha-mu-plot.png ├── alpha-to-mu.png ├── even-more-alphas.png ├── even-more-rank-loss.png ├── fc3-log-log-plots.png ├── gaussian_random_mats.png ├── guassian_random_mats.png ├── heavy-tailed-log-log-esd-mu3-zoomed.png ├── heavy-tailed-log-log-esd-mu5-zoomed.png ├── heavy-tailed-log-log-esd-zoomed.png ├── heavy-tailed-log-log-esds.png ├── imagenet_svals.png ├── log-min-nu-pytorch-conv2d.png ├── menet.png ├── mlp3-entropies.png ├── mlp3-final-esd-fc1.png ├── mlp3-final-esd-fc2.png ├── mlp3-final-scree.png ├── mlp3-final-semicircle-fc2.png ├── mlp3-final-semicirle-fc1.png ├── 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