Bomwater
An R package to download Australian water data
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Melodist | 34 | 2 | 4 months ago | 6 | May 05, 2020 | 2 | gpl-3.0 | Python | ||
| MELODIST is an open-source toolbox written in Python for disaggregating daily meteorological time series to hourly time steps. It is licensed under GPLv3 (see license file). The software framework consists of disaggregation functions for each variable including temperature, humidity, precipitation, shortwave radiation, and wind speed. These functions can simply be called from a station object, which includes all relevant information about site characteristics. The data management of time series is handled using data frame objects as defined in the pandas package. In this way, input and output data can be easily prepared and processed. For instance, the pandas package is data i/o capable and includes functions to plot time series using the matplotlib library. | ||||||||||
| Global Temperature Change Prediction | 17 | 6 years ago | Jupyter Notebook | |||||||
| A Data Science project that uses an ARIMA model for Time Series Forecasting, to predict the temperature of any given city across a specific time period. | ||||||||||
| Occupancy Detection | 16 | 7 years ago | 2 | mit | Jupyter Notebook | |||||
| Occupancy detection of an office room from light, temperature, humidity and CO2 measurements | ||||||||||
| Tssrestrend | 13 | 2 years ago | 2 | mit | Jupyter Notebook | |||||
| Bomwater | 9 | 3 years ago | 2 | September 16, 2020 | 3 | mit | R | |||
| An R package to download Australian water data | ||||||||||
| Shorttermloadforecasting | 8 | 7 years ago | Jupyter Notebook | |||||||
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| Weather forecasting using RNNs | ||||||||||
| Cambridgetemperaturenotebooks | 5 | 4 months ago | gpl-2.0 | Jupyter Notebook | ||||||
| Cambridge UK temperature forecast python notebooks | ||||||||||
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