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  1. Find label errors in datasets, weak supervision, and learning with noisy labels.

    Python 1k 114

  2. Latest (2020) CNN and GPU Benchmarks on ImageNet and CIFAR

    Python 10 4

  3. 🔥 Reproducibly benchmarking Keras and PyTorch models

    Python 335 37

  4. Parallelized hyper-param optimization with validation set, not crossval

    Python 64 9

  5. Official data release to reproduce Confident Learning paper results

    Jupyter Notebook 17 4

  6. 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

    Jupyter Notebook 69 10

1,394 contributions in the last year

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July 2020

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