OpenEarthLab / FNPLinks
[NeurIPS 2024] FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
☆14Updated 10 months ago
Alternatives and similar repositories for FNP
Users that are interested in FNP are comparing it to the libraries listed below
Sorting:
- [ECCV 2024]: PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines.☆37Updated last year
- [NeurIPS 2025] Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting☆20Updated last week
- ☆19Updated last year
- High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation☆50Updated 9 months ago
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆118Updated 10 months ago
- ☆36Updated 6 months ago
- ☆56Updated last year
- [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion☆29Updated 10 months ago
- ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast☆28Updated last year
- [ICLR 2025] Continuous Ensemble Weather Forecasting with Diffusion models☆34Updated 6 months ago
- [NeurIPS 2023] Official implementation of "PreDiff: Precipitation Nowcasting with Latent Diffusion Models"☆148Updated 3 months ago
- Some thoughts about writing scientific papers☆20Updated last year
- [AAAI'24] "STDiff: Spatio-temporal Diffusion for Continuous Stochastic Video Prediction". Xi Ye, Guillaume-Alexandre Bilodeau☆27Updated last year
- ☆25Updated last year
- [MM 2024]☆25Updated 7 months ago
- The official code for the paper HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting☆20Updated 8 months ago
- ☆15Updated last year
- [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting☆224Updated 2 months ago
- ☆15Updated last year
- ☆47Updated 10 months ago
- Integrating Large Weather Models with Data Assimilation☆22Updated last year
- The official code for "Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Foreca…☆15Updated last year
- ☆72Updated 10 months ago
- A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.☆88Updated last year
- [ICLR 2024 Spotlight]☆24Updated last year
- Large-scale Time-series Dataset Towards Next-Generation Global Station Weather Forecasting Benchmark☆83Updated last year
- Diffusion Probabilistic Downscaling Model☆29Updated last year
- Neural Manifold Operators (KDD 2024)☆25Updated last year
- Implicit Stacked Autoregressive Model for Video Prediction (official implementation)☆92Updated last year
- Compressing weather and climate data into neural networks☆17Updated last year