easylearningscores / NuwaDynamicsLinks
ICLR'2024 (Spotlight)
☆19Updated 11 months ago
Alternatives and similar repositories for NuwaDynamics
Users that are interested in NuwaDynamics are comparing it to the libraries listed below
Sorting:
- The official codebase of ECCV2024 paper: PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines.☆33Updated 8 months ago
- [ICLR 2025] Continuous Ensemble Weather Forecasting with Diffusion models☆14Updated last week
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆20Updated 7 months ago
- ☆26Updated 2 years ago
- Neural Manifold Operators (KDD 2024)☆22Updated 6 months ago
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆23Updated 9 months ago
- Some thoughts about writing scientific papers☆19Updated 7 months ago
- ☆13Updated 7 months ago
- ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast☆27Updated 10 months ago
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆15Updated last year
- PyTorch implementation of "ClimODE: Climate Forecasting With Physics-informed Neural ODEs"☆17Updated last year
- ☆14Updated 3 years ago
- Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).☆27Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆55Updated 9 months ago
- Official PyTorch Code for ICLR24 Workshop Paper: PostRainBench☆27Updated last year
- ☆12Updated last year
- Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth (NeurIPS24)☆56Updated 2 weeks ago
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆97Updated 3 months ago
- ☆8Updated 8 months ago
- [IJCAI 2024] This it the official github for IJCAI24 paper "Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning"☆13Updated 9 months ago
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆35Updated 2 years ago
- ☆11Updated 9 months ago
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆15Updated 2 months ago
- The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation…☆55Updated last year
- The official code for "Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Foreca…☆14Updated 8 months ago
- A diffusion-based framework for spatio-temporal point processes☆74Updated last year
- ☆43Updated 7 months ago
- ☆14Updated 8 months ago
- CirT: Global Subseaonal-To-Seasonal Forecasting with Geometry-inspired Transformer☆13Updated 4 months ago
- MM'2024☆20Updated last week