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GitHub / aryan-jadon / Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aryan-jadon%2FRegression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow

Stars: 80
Forks: 18
Open issues: 0

License: None
Language: Python
Size: 2.52 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: about 2 months ago
Pushed at: 3 months ago
Last synced at: about 1 month ago

Topics: deep-learning, forecasting, keras, loss-functions, machine-learning, python, tensorflow, time-series, time-series-forecasting, transformers

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