kylejshaffer

attention-is-all-you-need-keras

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

CoVe

Keras implementation of CoVe

dialog_model_experiments

few_shot_text

PyTorch implementation of few-shot learning idea using DBPedia text classification dataset and siamese similarity network

kaggle_whatscooking

Code for my entry in my first Kaggle competition - What's Cooking?

masters_paper

Code and data for my masters paper investigating performance of conditional random field (CRF) structured classifier for predicting aspects of student behavior in an online MOOC.

kylejshaffer/few_shot_text

PyTorch implementation of few-shot learning idea using DBPedia text classification dataset and siamese similarity network

kylejshaffer/masters_paper

Code and data for my masters paper investigating performance of conditional random field (CRF) structured classifier for predicting aspects of student behavior in an online MOOC.

kylejshaffer/attention-is-all-you-need-keras

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

kylejshaffer/CoVe

Keras implementation of CoVe

kylejshaffer/dialog_model_experiments

kylejshaffer/kaggle_whatscooking

Code for my entry in my first Kaggle competition - What's Cooking?

kylejshaffer/keras_snli

Keras code for building quick models on the Stanford Natural Language Inference dataset.

kylejshaffer/kyle-mixes-you

kylejshaffer/mooc_forum_mining

kylejshaffer/sampled_softmax_lm

Keras language modeling with sampled softmax loss

kylejshaffer/structured_search_app

kylejshaffer/twitter_image_predictor

This is a final project for a UNC graduate level class CS 790: Language & Vision