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Resh-97 / MixSeq-Connecting-Macroscopic-Time-Series-Forecasting-with-Microscopic-Time-Series-Data

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Testing the Reproducibility of the paper: MixSeq. Under the assumption that macroscopic time series follow a mixture distribution, they hypothesise that lower variance of constituting latent mixture components could improve the estimation of macroscopic time series.

time-series arma multihead-attention deepar vae-implementation vae-pytorch reproducibility-challenge comp6248
  • Updated Jun 7, 2023
  • Jupyter Notebook

rshriharripriya / Visibility-Prediction-System

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Development of visibility forecast with elastic lead times using NWP model with DeepAR from past observation for the next 12/24 hours using DeepAR inside sagemaker studio and visualizing using AWS Quicksite with API service for clients for selected airports in the country.

python aws deep-learning time-series data-visualization time-series-forecasting aws-sagemaker deepar amazon-quicksight
  • Updated Aug 26, 2022
  • Jupyter Notebook

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