AI4EarthLab / Neural-Manifold-OperatorsLinks
Neural Manifold Operators (KDD 2024)
☆25Updated last year
Alternatives and similar repositories for Neural-Manifold-Operators
Users that are interested in Neural-Manifold-Operators are comparing it to the libraries listed below
Sorting:
- [ICLR 2024 Spotlight]☆26Updated last year
- KDD 2025: "Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"☆18Updated 8 months ago
- [ECCV 2024]: PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines.☆38Updated last year
- [ICLR 2025] Continuous Ensemble Weather Forecasting with Diffusion models☆35Updated 7 months ago
- add codes☆20Updated 4 years ago
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆14Updated 10 months ago
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆118Updated 10 months ago
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆17Updated last week
- [NeurIPS 2025] Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting☆20Updated last month
- [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting☆225Updated 3 months ago
- ☆18Updated 3 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆79Updated 9 months ago
- [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion☆30Updated 11 months ago
- Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).☆39Updated last year
- PyTorch implementation of "ClimODE: Climate Forecasting With Physics-informed Neural ODEs"☆19Updated last year
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Updated 11 months ago
- Tooling for creating, visualising and storing data-driven weather-model graphs☆20Updated 2 months ago
- [MM 2024]☆26Updated 7 months ago
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆60Updated 6 months ago
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆21Updated last year
- ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast☆28Updated last year
- ☆12Updated last year
- [NeurIPS 2024] FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation☆14Updated 11 months ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆26Updated last year
- ☆14Updated 3 years ago
- ☆30Updated 5 months ago
- ☆47Updated 10 months ago
- KDD2024: "Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space"☆25Updated 9 months ago
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆42Updated last year
- ☆15Updated last year