ml-jku / mc-lstmLinks
Experiments with Mass Conserving LSTMs
☆40Updated 4 years ago
Alternatives and similar repositories for mc-lstm
Users that are interested in mc-lstm are comparing it to the libraries listed below
Sorting:
- Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"☆51Updated 4 years ago
- Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network☆39Updated 4 years ago
- Example notebook, showing how to use LSTMs for rainfall-runoff modeling☆71Updated 3 years ago
- ☆20Updated 6 months ago
- Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modellin…☆23Updated 3 years ago
- ☆14Updated 3 months ago
- Code repository for paper "Multi-scale hydraulic graph neural networks for flood modelling"☆18Updated 2 months ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆24Updated 9 months ago
- A Python library for fitting streamflow rating curves.☆20Updated last month
- Keras implementation for our paper "Improving AI system awareness of geoscience knowledge"☆15Updated 5 years ago
- TorchHydro: datasets, and models for watershed hydrological modeling☆22Updated last week
- ☆27Updated 2 years ago
- framework for developing machine (and deep) learning models for structured data☆73Updated 2 months ago
- A statistical downscaling approach using ConvLSTMs.☆28Updated 4 years ago
- A Python package for tackling diverse environmental prediction tasks with NPs.☆119Updated 3 months ago
- A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…☆60Updated 8 years ago
- Hybrid Hydrological modeling using Deep Learning methods☆25Updated 11 months ago
- Delineating watershed basins and computing attribute statistics using Google Earth Engine☆35Updated 3 weeks ago
- Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied…☆102Updated 5 years ago
- Gaussian Process emulators in Python☆18Updated 6 years ago
- Reservoir Assessment Tool☆26Updated last month
- 🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others☆54Updated 4 months ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆22Updated 2 years ago
- ☆37Updated last month
- Evolutionary Algorithms code examples. UC Davis ECI 263.☆16Updated 7 years ago
- Satellite Optical Flow with machine learning models☆63Updated 2 years ago
- NinoLearn is a research framework for statistical ENSO prediction.☆10Updated 5 years ago
- Deep learning model for predicting environmental variables on river systems☆21Updated 2 years ago
- Notes and practicals for my "Physics of the Climate System" lecture☆29Updated last year
- Research and experiments for downscaling climate/weather data via generative learning☆38Updated 3 years ago