Repository to quickly get you started with new Machine Learning projects on Google Cloud Platform. More info(slides):

Jupyter Notebook Magics for Google Cloud ML Engine

tf.Transform example for building digital twin with Apache Beam and Tensorflow

Say the magic word 😸

Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+

This project demonstrates the use of TensorFlow Object Detection API (along with GCP ML Engine) to automatically detect Red Blood Cells (RBCs), White Blood Cells (WBCs), and Platelets in each image taken via microscopic image readings

A custom model trained using Tensorflow's object detection API to detect company logos in images/videos.

Contains jupyter notebooks, presentations and examples for Keras, Google AI Platform and Kubeflow.

deep-learning-datasets

Example of transfer learning with tensorflow-hub and Google ML Engine

A web service that tries to determine the appropriate emoji for a given image

Deep learning project to practice Neural networks

Framework for large scale data processing, model training, and prediction delivery on the Google Cloud Platform.

Playing around with running Tensorflow on GCP ML Engine

Classifies images using TensorFlow and Google's Machine Learning Engine