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

    Python 918 98

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

    Python 10 3

  3. 🔥 Reproducibly benchmarking Keras and PyTorch models

    Python 334 37

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

    Python 63 8

  5. Official data release to reproduce Confident Learning paper results

    Jupyter Notebook 16 4

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

    Jupyter Notebook 69 10

1,370 contributions in the last year

Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Mon Wed Fri

Contribution activity

June 2020

11 contributions in private repositories Jun 1 – Jun 17
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