AI4EarthLab / Neural-Manifold-Operators

Related projects ⓘ

Alternatives and complementary repositories for Neural-Manifold-Operators

• mb-Ma / HiSTGNN
  code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences
  ☆10Updated last year
• Aalto-QuML / ClimODE
  ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
  ☆71Updated 3 months ago
• easylearningscores / PastNet
  MM'2024
  ☆6Updated 3 months ago
• JimengShi / CoDiCast
  ☆16Updated last month
• Gittingthehubbing / SIAT
  Official repo for "Solar Irradiance Anticipative Transformer" paper to be published in CVPR workshop Earth Vision 2023
  ☆12Updated last year
• wendig / GD-CAF
  GD-CAF: Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting
  ☆11Updated 9 months ago
• DeminYu98 / DiffCast
  [CVPR 2024] Official implementation of "DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting"
  ☆57Updated 2 months ago
• LingFH / Diffusion_4_downscaling
  Diffusion Probabilistic Downscaling Model
  ☆16Updated 4 months ago
• DongGeun-Yoon / DGDM
  [ECCV 2024] Probabilistic Weather Forecasting with Deterministic Guidance-based Diffusion Model
  ☆27Updated this week
• flyakon / DeepPhysiNet
  Implement code of paper "DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling"
  ☆34Updated 6 months ago
• mazhf / MS-RNN
  ☆25Updated 10 months ago
• gitbooo / CrossViVit
  This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal C…
  ☆74Updated 2 months ago
• gaozhihan / earth-forecasting-transformer
  ☆10Updated 3 months ago
• jmj2316 / KARINA
  Initial public release of code for KARINA
  ☆10Updated last month
• yuhao-nie / SkyGPT
  A physics-constrained stochastic sky video prediction model for probabilistic short-term solar forecasting
  ☆25Updated 6 months ago
• DongxiaW / Quantifying_Uncertainty_in_Deep_Spatiotemporal_Forecasting
  Quantifying Uncertainty in Deep Spatiotemporal Forecasting
  ☆12Updated 3 years ago
• gaozhihan / PreDiff
  [NeurIPS 2023] Official implementation of "PreDiff: Precipitation Nowcasting with Latent Diffusion Models"
  ☆100Updated last month
• Gufrannn / W-MAE
  ☆30Updated 6 months ago
• OpenEarthLab / AI-for-Earth-Paper-List
  ☆15Updated 5 months ago
• fmerizzi / Precipitation-nowcasting-with-generative-diffusion-models
  Code relative to the publication "Precipitation nowcasting with generative diffusion models"
  ☆27Updated 7 months ago
• hoonerg / Awesome-Diffusion-Models-for-Weather-Forecasting
  A collection of research papers on Diffusion Models for Weather Forecasting.
  ☆57Updated 3 weeks ago
• easylearningscores / NuwaDynamics
  ICLR'2024 (Spotlight)
  ☆13Updated 4 months ago
• OpenEarthLab / FengWu-4DVar
  Integrating Large Weather Models with Data Assimilation
  ☆9Updated 5 months ago
• jihoonko / DeepRaNE
  ☆9Updated 2 years ago
• OpenEarthLab / CasCast
  ☆20Updated 2 weeks ago
• bycnfz / weather2k
  ☆32Updated 9 months ago
• thuml / ModeRNN
  ☆14Updated 2 years ago
• nkirschi / Neural-Flood-Forecasting
  Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting
  ☆12Updated 3 months ago
• Ocean-Intelligent-Forecasting / XiHe-GlobalOceanForecasting
  ☆32Updated last month
• XiongWeiTHU / Awesome-AI-for-Atmosphere-and-Ocean
  Awesome paper about AI for atmosphere science and oceanography
  ☆23Updated last year