Michaël Hoarau's repositories
mtf-deep-dive
Deep dive on Markov transition fields applied to time series analysis
smarter-anomaly-detection
A series of notebook showing how one can post-process anomaly detection models to derive more insights
amazon-forecast-tutorial
No code workshop to experiment on Amazon Forecast
amazon-comprehend-tutorial
Tutorials to use Amazon Comprehend via console or APIs
amazon-forecast-samples
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
amazon-lookout-for-vision
Lookout For Vision Workshop
amazon-lookout-for-vision-demo
A demo to test models trained by Amazon Lookout for Vision
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
amazon-sagemaker-managed-spot-training
Amazon SageMaker Managed Spot Training Examples
amazon-sagemaker-tensorflow-object-detection-api
Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
end-to-end-transformers
end-to-end Transformers workflow with Amazon SageMaker
pyts
A Python package for time series classification
sagemaker-deepdive
Collection of labs useful to deliver deep dives on SageMaker
sagemaker-predictive-maintenance
A collection of notebooks exploring predictive maintenance use cases with the built-in SageMaker algorithms.
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
Time-series-analysis-on-AWS-
Time series analysis on AWS, published by Packt