toxic and Toxic-Comments-Classification
These are competitors—both implement independent toxic comment classification models trained on the same Kaggle challenge dataset, with no integration between them, so practitioners would select one based on model performance or implementation preferences rather than using 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 Toxic-Comments-Classification
Prakhar-FF13/Toxic-Comments-Classification
Predict the toxicity rating of comment made by the user.
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