Alternatives and similar repositories for mc-lstm

Users that are interested in mc-lstm are comparing it to the libraries listed below

• kratzert / lstm_for_pub
  Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"
  ☆46Updated 4 years ago
• gauchm / mts-lstm
  Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
  ☆34Updated 4 years ago
• CLIMADA-project / climada_papers
  ☆34Updated 3 months ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆22Updated 2 months ago
• andersonsam / cnn_lstm_era
  Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modellin…
  ☆21Updated 2 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆21Updated 2 years ago
• salvaRC / Graphino
  Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".
  ☆33Updated 2 years ago
• OuyangWenyu / torchhydro
  TorchHydro: datasets, and models for watershed hydrological modeling
  ☆17Updated this week
• openclimatefix / satflow
  Satellite Optical Flow with machine learning models
  ☆61Updated last year
• IPL-UV / AIDE
  ☆18Updated last week
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆54Updated 4 months ago
• KIT-HYD / Hy2DL
  Hybrid Hydrological modeling using Deep Learning methods
  ☆22Updated 4 months ago
• leap-stc / LEAPCourse-Climate-Pred-Challenges
  A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictiv…
  ☆39Updated last month
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆32Updated 7 months ago
• NOAA-OWP / lstm
  ☆13Updated 3 months ago
• pangeo-data / mldata
  ML Datasets Catalog
  ☆58Updated last year
• Earth-Intelligence-Lab / LocalizedWeatherGNN
  This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".
  ☆40Updated last month
• pjpetersik / ninolearn
  NinoLearn is a research framework for statistical ENSO prediction.
  ☆10Updated 4 years ago
• kratzert / pangeo_lstm_example
  Example notebook, showing how to use LSTMs for rainfall-runoff modeling
  ☆70Updated 2 years ago
• FrontierDevelopmentLab / CUMULO
  a benchmark dataset for training and evaluating global cloud classification models.
  ☆29Updated last year
• RBTV1 / mSWE-GNN
  Code repository for paper "Multi-scale hydraulic graph neural networks for flood modelling"
  ☆16Updated 4 months ago
• NVlabs / cBottle
  A generative foundation model for the kilometer-scale atmosphere
  ☆46Updated this week
• anna-allen / convCNPClimate
  Implementation of convolutional conditional neural processes for statistical downscaling
  ☆33Updated 4 years ago
• USGS-R / river-dl
  Deep learning model for predicting environmental variables on river systems
  ☆21Updated 2 years ago
• Upstream-Tech / SACSMA-SNOW17
  Original SACSMA-Snow17 Fortran Code
  ☆12Updated 4 years ago
• deepsphere / deepsphere-weather
  A spherical CNN for weather forecasting
  ☆72Updated 2 years ago
• royalosyin / A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python
  A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…
  ☆56Updated 7 years ago
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆34Updated 3 years ago
• cryptonymous9 / Augmented-ConvLSTM
  A statistical downscaling approach using ConvLSTMs.
  ☆27Updated 3 years ago
• leelew / CLSTM
  Causality-structured LSTM (source code of "Causality-Structured Deep Learning for Soil Moisture Predictions", Journal of Hydrometeorology…
  ☆20Updated 2 years ago