Alternatives and similar repositories for Multi-Input-ConvLSTM

Users that are interested in Multi-Input-ConvLSTM are comparing it to the libraries listed below

• leelew / HybridHydro
  Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…
  ☆16Updated last year
• kratzert / ealstm_regional_modeling
  Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied…
  ☆98Updated 5 years ago
• kaighin / ETC
  Code for implementing Extended Triple Collocation (ETC)
  ☆11Updated 9 years ago
• xiejx5 / baseflow
  12 baseflow separation methods with automatic parameter calibration
  ☆32Updated 3 months ago
• Orion-AI-Lab / wildfire_forecasting
  Deep Learning Models for Wildfire Danger Forecasting
  ☆71Updated 2 years ago
• aiwei169 / FY4A
  读取FY4A的所有产品
  ☆33Updated 3 years ago
• kratzert / pangeo_lstm_example
  Example notebook, showing how to use LSTMs for rainfall-runoff modeling
  ☆70Updated 2 years ago
• GMfatcat / ConvLSTM-CNN-for-tropical-cyclone
  Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity
  ☆38Updated 2 years ago
• fangbin08 / SMAP
  SMAP soil moisture downscaling
  ☆12Updated last year
• jjmcnelis / mcd43a1-albedo-python
  A comprehensive workflow for calculating black, white, and blue sky albedos from the MODIS BRDF model parameters product (MCD43A1) using …
  ☆27Updated 4 years ago
• S-Stergiadis / MODIS-LST-downscaling-with-RFR
  Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression
  ☆21Updated 3 years ago
• NINAnor / cityTairMapping
  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
• geek-yang / DLACs
  A library designed to implement deep learning algorisms to climate data for weather and climate prediction.
  ☆21Updated 2 years ago
• SRKabir / Rapid_FloodModelling_CNN
  ☆31Updated 4 years ago
• sarahwcooley / icesat2-water-levels
  ☆22Updated 4 years ago
• uihilab / HydroLSTM
  LSTM Data and Model for Streamflow Forecasting
  ☆36Updated last month
• QianqianHan96 / GSSM1km
  ☆13Updated 2 years ago
• sjliu68 / Estimation-of-PM2.5-PM10-from-Satellite-Imagery
  Estimate PM2.5/PM10 from satellite imagery
  ☆10Updated 4 years ago
• SantanderMetGroup / DeepDownscaling
  Deep learning approaches for statistical downscaling in climate
  ☆72Updated 3 years ago
• amacd31 / gr4j
  GR4J rainfall runoff model implemented in Python
  ☆40Updated 5 years ago
• AugChiang / Climate-downscaling
  Deep-learning Based Climate Downscaling of Precipitation Data
  ☆13Updated 6 months ago
• se7ven012 / ConvLSTM
  Typhoon Prediction
  ☆12Updated 5 years ago
• gisgyf / OMGD
  Optimal Multivariate-stratification Geographical Detector model
  ☆16Updated 8 months ago
• ZPYin / Himawari-8_Visualizer
  Visualize Himawari-8 satellite data
  ☆16Updated 2 years ago
• leizhang-geo / CNN-LSTM_for_DSM
  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…
  ☆71Updated last year
• danielphilipp / seviri_ml
  SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud to…
  ☆14Updated 2 years ago
• MeteoSwiss / c4dl-multi
  Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"
  ☆34Updated 2 years ago
• EricKeenan / cmip6-downscalling
  Pipeline for statistical downscaling of earth system model output
  ☆12Updated 5 years ago
• SERVIR / BiasCorrectionPrecipitation
  Bias Correction for Satellite Precipitation Observations
  ☆12Updated 6 years ago
• e-baumer / standard_precip
  Python implementation for calculating the Standard Precipitation Index (SPI) and Standard Precipitation Evapotranspiration Index (SPEI)
  ☆106Updated last year