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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 2.2k 211

  2. 🔥 Reproducibly benchmarking Keras and PyTorch models

    Python 358 40

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

    Python 71 16

  4. Official data release to reproduce Confident Learning paper results

    Jupyter Notebook 24 10

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

    Jupyter Notebook 78 12

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

    Jupyter Notebook 31 3

1,296 contributions in the last year

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Contribution activity

September 2021

Created 9 commits in 1 repository

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