Work in progress
You might ask yourself what can I find here. This repository mainly contains different small and large projects related to machine learning.
Contains jupyter notebooks and examples for Keras, Google AI Platform and Kubeflow.
I update this repository while learning new technologies and topics. It is used as a self reminder for my future self.
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├── ai-platform # Implementations related to Google AI Platform.
├── kubeflow # Implementations related to kubeflow.
└── leightweight-component-training # Explains the basics of components and pipelines in Kubeflow
├── notebooks # Several notebooks for different kind of technologies.
├── notes # Personal machine learning notes, as self reminder =).
└── presentations # Personal presentations related to ml.
2019-10-24
- added TFRecords with tf.hub feature extraction sample
2019-06-26
- added training component for concatenating strings
- added training notebook for reusable components and pipelines
2019-06-18
- NER added deployment for AI Platform using beta feature for custom processing routine
2019-06-17
- NER added processing state export for custom prediction routine usage
- NER added logic to export keras model
2019-06-14
- Initial repository and structure.
- Added several basic kubeflow notebooks.