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Machine learning model approaches created for AWS-NVIDIA Environmental Hackathon, August 2020

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AWS-ML-Hackathon

This repository contains machine learning model approaches created by Syed Rizvi for AWS-NVIDIA Environmental Hackathon in August, 2020.

Autoencoder approach placed 3rd overall, awarded $3000 prize.

Approaches

  • Autoencoder time-series reconstruction for anomaly detection (Placed 3rd overall in competition)
  • Isolation Forest Algorithm

Autoencoder Reconstruction Sample

Time Series Reconstruction

Requirements

  • Pytorch
  • Pandas
  • Numpy
  • Sklearn
  • Matplotlib

Demo video

Link to demo video: https://youtu.be/mYcjEGL58d8

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Machine learning model approaches created for AWS-NVIDIA Environmental Hackathon, August 2020

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