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The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
🔥 Reproducibly benchmarking Keras and PyTorch models
⏸ Parallelized hyper-param optimization with validation set, not crossval
Official data release to reproduce Confident Learning paper results
🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
EgoCom: A Multi-person Multi-modal Egocentric Communications Dataset
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