leomuckley / Multi-Input-ConvLSTMLinks
TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.
☆17Updated 3 years ago
Alternatives and similar repositories for Multi-Input-ConvLSTM
Users that are interested in Multi-Input-ConvLSTM are comparing it to the libraries listed below
Sorting:
- LSTM Data and Model for Streamflow Forecasting☆36Updated last week
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆16Updated last year
- Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"☆45Updated 4 years ago
- A statistical downscaling approach using ConvLSTMs.☆27Updated 3 years ago
- A library designed to implement deep learning algorisms to climate data for weather and climate prediction.☆21Updated 2 years ago
- Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity☆38Updated 2 years ago
- ☆30Updated 4 years ago
- Example notebook, showing how to use LSTMs for rainfall-runoff modeling☆70Updated 2 years ago
- Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modellin…☆21Updated 2 years ago
- A simple bias correction of temperature, dew point, and 10m wind speeds for the GFS, HRRR, and ECMWF models for two US locations.☆19Updated 3 years ago
- Code for implementing Extended Triple Collocation (ETC)☆11Updated 9 years ago
- Typhoon Prediction☆12Updated 5 years ago
- Accompanying code for CCAM dataset☆24Updated last year
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆34Updated 2 years ago
- Spatial interpolation of point Tair data from private weather stations using a Random Forest model with satellite and other predictor dat…☆11Updated 3 years ago
- Interpretive deep learning for identifying flooding mechanisms☆19Updated 10 months ago
- Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied…☆96Updated 5 years ago
- Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic c…☆69Updated last year
- Visualize Himawari-8 satellite data☆15Updated 2 years ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆31Updated 6 months ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆70Updated 3 years ago
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆22Updated 3 years ago
- ConvLSTM for short-term precipitation forecasting.☆21Updated 6 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- fill the GRACE gap using novel Transformer method☆13Updated 5 months ago
- Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network☆34Updated 4 years ago
- ☆13Updated 2 years ago
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆43Updated 3 years ago
- Deep learning for multi-year ENSO forecasts Reproduction☆54Updated 9 months ago
- Lisflood Test Catchments use cases☆21Updated 10 months ago