michaelhoarau

michaelhoarau's Stars

• pandas-dev/pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  Language:Python44k1.1k27.1k18.1k

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k1.1k9.6k6.8k

• aws-samples/aws-panorama-samples

  This repository has samples that demonstrate various aspects of AWS Panorama device and the Panorama SDK

  Language:Python82143058

• aws-samples/sound-anomaly-detection-for-manufacturing

  This repository contains a sample on how to perform anomaly detection on machine sounds (based on the MIMII Dataset) leveraging several approaches.

  Language:Jupyter Notebook5531120

• aws-samples/amazon-sagemaker-tensorflow-object-detection-api

  Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker

  Language:Python4642434

• aws-samples/shopfloor-connectivity

  Shop Floor Connectivity (SFC) is an industrial data ingestion enabler, that can quickly deliver customizable greenfield & brownfield connectivity solutions.

  Language:Kotlin306234

• michaelhoarau/mtf-deep-dive

  Deep dive on Markov transition fields applied to time series analysis

  Language:Jupyter Notebook292112

• aws-samples/lookout-for-equipment-demo

  Language:Jupyter Notebook2527

• aws-samples/amazon-lookout-for-equipment

  Language:Jupyter Notebook193005

• PacktPublishing/Time-Series-Analysis-on-AWS

  Time series analysis on AWS, published by Packt

  Language:Jupyter Notebook15609

• aws-samples/amazon-lookout-for-equipment-demo-app

  A React app showcasing how to integrate Amazon Lookout for Equipment in a broader predictive maintenance solution.

  Language:JavaScript141821

• michaelhoarau/tsia

  Time series image analysis package

  Language:Python14124

• sofianhamiti/end-to-end-transformers

  end-to-end Transformers workflow with Amazon SageMaker

  Language:Jupyter Notebook134110

• michaelhoarau/smarter-anomaly-detection

  A series of notebook showing how one can post-process anomaly detection models to derive more insights

  Language:Jupyter Notebook11202

• aws-samples/amazon-lookout-for-equipment-python-sdk

  The Amazon Lookout for Equipment Python SDK is an open-source library that allows you to easily build, train and deploy anomaly detection models for industrial time series data using Amazon Lookout for Equipment

  Language:Python6313

• athewsey/remote-sagemaker

  Automating code execution tasks on Amazon SageMaker via APIs

  Language:Jupyter Notebook3201

• michaelhoarau/amazon-forecast-tutorial

  No code workshop to experiment on Amazon Forecast

  Language:Jupyter Notebook10