This repository is contains example code to train machine learning models for text classification as part of the Conversation AI project.
experiments/contains the ML training framework.annotator-models/contains a Dawid-Skene implementation for modelling rater quality to produce better annotations.attention-tutorial/contains an introductory ipython notebook for RNNs with attention, as presented at Devoxx talk "Tensorflow, deep learning and modern RNN architectures, without a PhD by Martin Gorner"kaggle-classification/early experiments with Keras and Estimator for training on the Jigsaw Toxicity Kaggle competition. Will be superceeded byexperiments/shortly.model_evaluation/contains utilities to use a model deployed on cloud MLE, and some notebooks to illustrate typical evaluation metrics.
This repository contains example code to help experiment with models to improve conversations; it is not an official Google product.