NeuralProphet: A simple forecasting package
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Updated
Aug 5, 2024 - Python
NeuralProphet: A simple forecasting package
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
RNN based Time-series Anomaly detector model implemented in Pytorch.
Scalable machine 🤖 learning for time series forecasting.
Custom component for retrieving weather information from the Bureau of Meteorology.
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A free and asynchronous weather API wrapper made in python, for python.
Time series based anomaly detector
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Model data as beliefs (at a certain time) about events (at a certain time).
This is a python package for simple access to hourly forecast data for the next 10 days and reported weather where this data is provided.
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Python library to forecast univariate time series through backtesting model selection
A package for downloading and handling forecasts for the National Electricity Market (NEM) from the Australian Energy Market Operator (AEMO).
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