Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+
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Updated
Feb 9, 2023 - Python
Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+
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Framework for large scale data processing, model training, and prediction delivery on the Google Cloud Platform.
A custom model trained using Tensorflow's object detection API to detect company logos in images/videos.
Repository to quickly get you started with new Machine Learning projects on Google Cloud Platform. More info(slides):
Classifies images using TensorFlow and Google's Machine Learning Engine
tf.Transform example for building digital twin with Apache Beam and Tensorflow
Example of transfer learning with tensorflow-hub and Google ML Engine
Jupyter Notebook Magics for Google Cloud ML Engine
A web service that tries to determine the appropriate emoji for a given image
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To associate your repository with the ml-engine topic, visit your repo's landing page and select "manage topics."