toxic and open-solution-toxic-comments
These are competing implementations of the same Kaggle competition challenge—both attempt to classify toxic comments using similar datasets and evaluation metrics, so users would typically choose one approach over the other rather than use them together.
About toxic
PavelOstyakov/toxic
Toxic Comment Classification Challenge
Implements multi-label toxic comment classification using Keras with fastText embeddings (300d), processing six toxicity categories simultaneously. The pipeline combines NLTK preprocessing with scikit-learn utilities to train deep learning models that achieve competitive leaderboard performance on the Kaggle Jigsaw competition dataset.
About open-solution-toxic-comments
minerva-ml/open-solution-toxic-comments
Open solution to the Toxic Comment Classification Challenge
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