a implementation of google QAnet, a tensorflow estimator version, have very good proved performance

a high performance tensorflow version for relation extraction of named entity

a tensorflow version for elmo， a kind of dynamic word embedding

This is a fast and simple tutorial on how to apply Tensorflow serving

Deep Neural Network for Weather Time Series Forecasting

A general-purpose model for document ranking, includes natural language processing and deep interest net inside.

A Tensorflow pipeline for text classification task. the model is based on Text CNN with attention and position encoder. A pipeline is created: raw_data --> tf.record --> tf.dataset -- distributed tf.esitmator.

MobileNetV2 written in tensorflow, training with eager mode and estimator API

Messing with Distributed TensorFlow and Kubernetes

I present to smart fashion AI team a framework for specifying, training, evaluating, and deploying machine learning models.

Model for identification of Positive/Negative Sentiments in texts using TensorFlow's Estimator API.

RNN (char-lm) using Estimator API-tensorflow

Systematic and complete notes (or guide) on getting started right away with Tensorflow. Inspired from "Complete Guide to Tensorflow for Deep Learning with Python" on Udemy.

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