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  1. The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models.

    Python 2k 195

  2. 🔥 Reproducibly benchmarking Keras and PyTorch models

    Python 357 40

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

    Python 70 14

  4. Official data release to reproduce Confident Learning paper results

    Jupyter Notebook 23 10

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

    Jupyter Notebook 76 10

  6. EgoCom: A Multi-person Multi-modal Egocentric Communications Dataset

    Jupyter Notebook 27 3

1,292 contributions in the last year

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Contribution activity

July 2021

Created 9 commits in 1 repository

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