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GitHub / SepKfr / Coarse-and-Fine-Grained-Forecasting-Via-GP-Blurring-Effect

Forecast-blur-denoise forecasting model with PyTorch

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SepKfr%2FCoarse-and-Fine-Grained-Forecasting-Via-GP-Blurring-Effect

Stars: 1
Forks: 0
Open Issues: 0

License: other
Language: Python
Repo Size: 787 KB
Dependencies: 11

Created: 6 months ago
Updated: 17 days ago
Last pushed: 23 days ago
Last synced: 10 days ago

Commit Stats

Commits: 65
Authors: 2
Mean commits per author: 32.5
Development Distribution Score: 0.015
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SepKfr/Coarse-and-Fine-Grained-Forecasting-Via-GP-Blurring-Effect

Topics: cuda, deep-learning, gaussian-processes, neural-networks, optuna, pytorch, time-series, time-series-forecasting, uncertainty

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    Dependencies
    setup.py pypi