GitHub - cleanlab/cleanlab: The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Check out the: cleanlab code documentation. Past release notes and future features planned is available here. By default, cleanlab requires no hyper-parameters. Pre-computed out-of-sample predicted probabilities for CIFAR-10 train set are available here: [[LINK]]. Check out these examples and tests (includes how to use pyTorch, FastText, etc.).