IBM / spatial-lstmLinks
Repo related to our AAAI 2021 paper "A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales"
☆32Updated 2 years ago
Alternatives and similar repositories for spatial-lstm
Users that are interested in spatial-lstm are comparing it to the libraries listed below
Sorting:
- Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"☆35Updated 4 years ago
- ☆12Updated 3 years ago
- A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.☆48Updated 5 years ago
- Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevi…☆68Updated 4 years ago
- Package implementing Convergent Cross Mapping for causality inference in dynamical systems☆48Updated last year
- Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network☆37Updated 4 years ago
- This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal C…☆92Updated 11 months ago
- Diffusion on the Clouds: Short-term solar energy forecasting with Diffusion Models☆47Updated last year
- A physics-constrained stochastic sky video prediction model for probabilistic short-term solar forecasting☆42Updated last year
- Convolutional LSTM for Precipitation Nowcasting☆58Updated 7 years ago
- A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification☆111Updated 5 years ago
- ☆38Updated 4 years ago
- Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".☆33Updated 2 years ago
- Spatio-temporal Numerical Weather Forecasting Pipeline. It has the code for the introduced weather model architecture☆53Updated last year
- SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss☆27Updated 3 years ago
- Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"☆49Updated 4 years ago
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆23Updated 5 years ago
- PyTorch implementation of probabilistic deep forecast applied to air quality.☆26Updated 3 years ago
- ☆45Updated 3 weeks ago
- Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.☆42Updated 3 years ago
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆20Updated 9 months ago
- Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity☆39Updated 3 years ago
- TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.☆18Updated 3 years ago
- ☆58Updated 6 years ago
- A statistical downscaling approach using ConvLSTMs.☆27Updated 3 years ago
- Deep Learning for Weather Forecasting, accepted applied data science of KDD 2019☆96Updated 2 years ago
- Interpretive deep learning for identifying flooding mechanisms☆22Updated last year
- PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting☆39Updated 2 years ago
- Testing out Diffusion-based models for weather and PV forecasting☆14Updated 3 weeks ago
- Transfer Entropy between two time series - Implementation in Python☆46Updated 6 months ago