Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN
☆45Oct 12, 2020Updated 5 years ago
Alternatives and similar repositories for RCESN_spatio_temporal
Users that are interested in RCESN_spatio_temporal are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆98Mar 24, 2023Updated 3 years ago
- Using machine learning to improve simulations of a dynamical system☆10Apr 24, 2019Updated 6 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 6 years ago
- Lorenz 96 model with GAN parameterization of unresolved scale (Y).☆37Feb 12, 2020Updated 6 years ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆22Mar 25, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆47Jul 25, 2024Updated last year
- MATLAB code for Combined Hybrid-Parallel Prediction☆10Nov 14, 2022Updated 3 years ago
- The realisations and examples of algorithms from FEDOT framework☆12May 27, 2021Updated 4 years ago
- ☆19Feb 3, 2022Updated 4 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆17Aug 19, 2017Updated 8 years ago
- ☆12Nov 13, 2022Updated 3 years ago
- This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…☆39Jan 25, 2020Updated 6 years ago
- Code for Reservoir computing (Echo state network)☆61Oct 25, 2018Updated 7 years ago
- A hackable Lyapunov exponents calculator☆14Feb 8, 2020Updated 6 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆34Oct 30, 2023Updated 2 years ago
- Code for "Learning data-driven discretizations for partial differential equations"☆166Aug 19, 2025Updated 7 months ago
- Pix2PixCC codes: an improved model for image-to-image translation and scientific data analysis☆12Jul 14, 2025Updated 8 months ago
- Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"☆10Jul 11, 2022Updated 3 years ago
- Neural network (reservoir computing system) based on electro-optical delay setup☆15Nov 12, 2019Updated 6 years ago
- Fast domain-aware neural network emulation of a planetary boundary layer parameterization in a numerical weather forecast model☆11Mar 26, 2019Updated 7 years ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Jan 6, 2021Updated 5 years ago
- Quasi-geostrophic spectral solver in PyTorch☆18Sep 18, 2022Updated 3 years ago
- a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning☆46Jan 1, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for neural network parameterization project☆76Apr 24, 2020Updated 5 years ago
- Exploit Auto-encoder for exploring and predict flow dynamic☆10Oct 4, 2019Updated 6 years ago
- Gerneral Circulation Models Planet Simulator (PlaSim) and PUMA☆52Mar 23, 2019Updated 7 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60May 20, 2022Updated 3 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆45May 2, 2018Updated 7 years ago
- Generalized DBSCAN☆12Apr 28, 2016Updated 9 years ago
- A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.☆41Jun 11, 2025Updated 9 months ago
- ☆74Aug 31, 2020Updated 5 years ago
- Lua, Fortran and Python implementations of MAOOAM: the Modular Arbitrary-Order Ocean-Atmosphere Model☆21Mar 26, 2021Updated 5 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- The application of Python in atmospheric and oceanic science / Python 在大气海洋中的应用☆16Aug 26, 2021Updated 4 years ago
- My Very Own Deep Multiple Layered Echo State Network☆13Jan 2, 2021Updated 5 years ago
- The 4DVar data assimilation technique implemented with the Lorenz '63 model☆11Dec 12, 2017Updated 8 years ago
- A numerical model of atmospheric general circulation on the tropical beta-plane based on the Gill 1980 paper.☆17May 13, 2022Updated 3 years ago
- An echo state network (ESN) for video prediction☆11Apr 29, 2020Updated 5 years ago
- explore the FV3 data for parameterization☆18Jan 7, 2025Updated last year
- Code for the paper "Next Generation Reservoir Computing"☆191Dec 11, 2025Updated 3 months ago