Open peterhurford opened 6 years ago
https://github.com/neptune-ml/kaggle-toxic-starter https://github.com/ChenglongChen/Kaggle_HomeDepot https://github.com/PavelOstyakov/toxic/tree/master/toxic https://github.com/AloneGu/kaggle_spooky/blob/master/prepare_nn_feat_2gram.ipynb
https://www.kaggle.com/yekenot/pooled-gru/code https://www.kaggle.com/jhoward/improved-lstm-baseline-glove-dropout/notebook https://www.kaggle.com/mschumacher/using-fasttext-models-for-robust-embeddings https://www.kaggle.com/jhoward/minimal-lstm-nb-svm-baseline-ensemble/notebook https://www.kaggle.com/sterby/fasttext-like-baseline-with-keras-lb-0-053 https://www.kaggle.com/umbertogriffo/combined-cnn-and-pooled-lstm-fasttext/code https://www.kaggle.com/knowledgegrappler/embeddings-features-tdf-idf-let-s-party https://www.kaggle.com/eashish/bidirectional-lstm-with-convolution https://www.kaggle.com/konohayui/bi-gru-cnn-poolings https://www.kaggle.com/umbertogriffo/combined-pooled-gru-and-cnn-fasttext/code https://www.kaggle.com/rohitanil/lemmatization-and-pooled-gru/code https://www.kaggle.com/tunguz/cnn-glove300-3-oof-4-epochs/code https://www.kaggle.com/andrewmatte/w2v-into-3-layer-gru-with-relu-output/code https://www.kaggle.com/zhbain/pooled-gru-fasttext-6c07c9/code https://www.kaggle.com/johnfarrell/tfidf-3layers-mlp-from-mercari/output
https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/51010#290521 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/50913#290051 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/48836#280115 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/47964 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/48038 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/48676 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/49950#288921 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/50888#290478 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/50350#287297
https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md https://github.com/epfml/sent2vec https://github.com/mukesh-mehta/VDCNN
https://github.com/neptune-ml/kaggle-toxic-starter https://github.com/ChenglongChen/Kaggle_HomeDepot https://github.com/PavelOstyakov/toxic/tree/master/toxic https://github.com/AloneGu/kaggle_spooky/blob/master/prepare_nn_feat_2gram.ipynb
https://www.kaggle.com/yekenot/pooled-gru/code https://www.kaggle.com/jhoward/improved-lstm-baseline-glove-dropout/notebook https://www.kaggle.com/mschumacher/using-fasttext-models-for-robust-embeddings https://www.kaggle.com/jhoward/minimal-lstm-nb-svm-baseline-ensemble/notebook https://www.kaggle.com/sterby/fasttext-like-baseline-with-keras-lb-0-053 https://www.kaggle.com/umbertogriffo/combined-cnn-and-pooled-lstm-fasttext/code https://www.kaggle.com/knowledgegrappler/embeddings-features-tdf-idf-let-s-party https://www.kaggle.com/eashish/bidirectional-lstm-with-convolution https://www.kaggle.com/konohayui/bi-gru-cnn-poolings https://www.kaggle.com/umbertogriffo/combined-pooled-gru-and-cnn-fasttext/code https://www.kaggle.com/rohitanil/lemmatization-and-pooled-gru/code https://www.kaggle.com/tunguz/cnn-glove300-3-oof-4-epochs/code https://www.kaggle.com/andrewmatte/w2v-into-3-layer-gru-with-relu-output/code https://www.kaggle.com/zhbain/pooled-gru-fasttext-6c07c9/code https://www.kaggle.com/johnfarrell/tfidf-3layers-mlp-from-mercari/output
https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/51010#290521 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/50913#290051 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/48836#280115 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/47964 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/48038 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/48676 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/49950#288921 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/50888#290478 https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/discussion/50350#287297
https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md https://github.com/epfml/sent2vec https://github.com/mukesh-mehta/VDCNN