ml-jku / mc-lstmLinks
Experiments with Mass Conserving LSTMs
☆39Updated 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"☆49Updated 4 years ago
 - framework for developing machine (and deep) learning models for structured data☆72Updated last week
 - Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network☆38Updated 4 years ago
 - ML Datasets Catalog☆58Updated 2 years ago
 - Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modellin…☆22Updated 3 years ago
 - Example notebook, showing how to use LSTMs for rainfall-runoff modeling☆71Updated 3 years ago
 - Keras implementation for our paper "Improving AI system awareness of geoscience knowledge"☆15Updated 5 years ago
 - This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".☆46Updated last month
 - Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Updated 2 years ago
 - Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"☆34Updated 4 years ago
 - A statistical downscaling approach using ConvLSTMs.☆27Updated 3 years ago
 - Subseasonal forecasting models☆54Updated 8 months ago
 - Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".☆33Updated 2 years ago
 - Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied…☆100Updated 5 years ago
 - machine learning for the atmospheric sciences - a CSU course☆34Updated 2 years ago
 - A Python package for tackling diverse environmental prediction tasks with NPs.☆116Updated 3 weeks ago
 - A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets…☆40Updated 2 years ago
 - ☆27Updated 2 years ago
 - Deep learning models for global weather prediction on a cubed sphere☆95Updated 5 years ago
 - A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…☆59Updated 8 years ago
 - A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆90Updated 8 months ago
 - Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'☆100Updated 2 years ago
 - Hybrid Hydrological modeling using Deep Learning methods☆24Updated 9 months ago
 - Datasets downloader and reader for Hydrologic Modeling☆29Updated 9 months ago
 - ☆14Updated last month
 - Experiments demonstrating coupled online learning for machine learning parameterizations☆22Updated 2 years ago
 - Causality-structured LSTM (source code of "Causality-Structured Deep Learning for Soil Moisture Predictions", Journal of Hydrometeorology…☆23Updated 3 years ago
 - SuperflexPy: The flexible language of hydrological modelling☆59Updated 5 months ago
 - ☆20Updated 4 months ago
 - Climate Analytics using Deep Neural Networks in Python.☆64Updated 2 years ago