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.ipynb_checkpoints

.ipynb_checkpoints

 
 

__pycache__

__pycache__

 
 

bento_archive/PassengerClassifier/0.0.v0.0.1

bento_archive/PassengerClassifier/0.0.v0.0.1

 
 

text_classification/TextClassificationService/0.0.2019_04_22_e5d9f7d0

text_classification/TextClassificationService/0.0.2019_04_22_e5d9f7d0

 
 

Model Training + Saving (scikit-learn).ipynb

Model Training + Saving (scikit-learn).ipynb

 
 

Model Training + Saving (tf-keras).ipynb

Model Training + Saving (tf-keras).ipynb

 
 

README.md

README.md

 
 

passenger_classifier.py

passenger_classifier.py

 
 

text_classification_service.py

text_classification_service.py

 
 

tf-keras-fashion-mnist-classification.ipynb

tf-keras-fashion-mnist-classification.ipynb

 
 

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This repository contains my experiments made with the mighty BentoML library which lets you serve your machine learning models as REST APIs in minutes.

If you wish to follow along with the notebooks listed here, please follow along with BentoML GitHub examples.

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Contains my experiments made with the mighty library BentoML

github.com/bentoml/BentoML

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  • Jupyter Notebook 96.2%
  • Python 3.3%
  • Dockerfile 0.5%