Alternatives and similar repositories for Neural-Manifold-Operators

Users that are interested in Neural-Manifold-Operators are comparing it to the libraries listed below

• easylearningscores / NuwaDynamics
  ICLR'2024 (Spotlight)
  ☆21Updated last year
• martinandrae / Continuous-Ensemble-Forecasting
  [ICLR 2025] Continuous Ensemble Weather Forecasting with Diffusion models
  ☆17Updated 3 weeks ago
• Friger / GAGNN
  add codes
  ☆18Updated 3 years ago
• nkirschi / Neural-Flood-Forecasting
  Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting
  ☆15Updated 3 months ago
• Aalto-QuML / ClimODE
  ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
  ☆99Updated 3 months ago
• tsinghua-fib-lab / MDPNet
  KDD 2025: 📄"Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"
  ☆14Updated last month
• OpenEarthLab / PredBench
  The official codebase of ECCV2024 paper: PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines.
  ☆33Updated 9 months ago
• dyu62 / multisource-spatial-point-prediction
  ☆8Updated 9 months ago
• black-yt / ExtremeCast
  ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
  ☆27Updated 11 months ago
• easylearningscores / PastNet
  MM'2024
  ☆21Updated last month
• mb-Ma / HiSTGNN
  code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences
  ☆15Updated last year
• Rose-STL-Lab / dyffusion
  [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
  ☆208Updated 8 months ago
• Rose-STL-Lab / spherical-dyffusion
  [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion
  ☆26Updated 4 months ago
• dataymeric / ClimODE
  PyTorch implementation of "ClimODE: Climate Forecasting With Physics-informed Neural ODEs"
  ☆17Updated last year
• OpenEarthLab / FNP
  [NeurIPS 2024] FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
  ☆14Updated 4 months ago
• decisionintelligence / Air-DualODE
  ☆11Updated 4 months ago
• tsinghua-fib-lab / DiskNet
  Official implementation for "Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space" (KDD2024)
  ☆23Updated 3 months ago
• kyegomez / Aurora
  Implementation of the paper: "Aurora: A Foundation Model of the Atmosphere" in PyTorch
  ☆22Updated 2 weeks ago
• JimengShi / CoDiCast
  [IJCAI'25] Code for the paper "CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification".
  ☆1Updated 9 months ago
• gorgen2020 / DVGNN
  ☆26Updated 2 years ago
• hjf1997 / STGNP
  KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation
  ☆35Updated 2 years ago
• DongxiaW / Quantifying_Uncertainty_in_Deep_Spatiotemporal_Forecasting
  Quantifying Uncertainty in Deep Spatiotemporal Forecasting
  ☆12Updated 4 years ago
• xzwbsz / DGFormer
  The source code of the SOTA Dynamic Graph Reformer model for weather station prediction.
  ☆11Updated last year
• DAMO-DI-ML / WeatherODE
  The official code for "Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Foreca…
  ☆15Updated 8 months ago
• wwy155 / FAN
  ☆16Updated 7 months ago
• jeehyunHwang / Neural-Diffusion-Equation
  NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21
  ☆24Updated 3 years ago
• YuanYuan98 / UniFlow
  ☆14Updated 7 months ago
• Chengyui / SUMformer
  Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)
  ☆20Updated 7 months ago
• thuml / ModeRNN
  ☆14Updated 3 years ago
• thuml / RoPINN
  About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369
  ☆57Updated 8 months ago