Alternatives and similar repositories for Neural-Manifold-Operators

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

• martinandrae / Continuous-Ensemble-Forecasting
  [ICLR 2025] Continuous Ensemble Weather Forecasting with Diffusion models
  ☆35Updated 7 months ago
• Alexander-wu / NuwaDynamics
  [ICLR 2024 Spotlight]
  ☆26Updated last year
• Aalto-QuML / ClimODE
  ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
  ☆118Updated 10 months ago
• OpenEarthLab / PredBench
  [ECCV 2024]: PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines.
  ☆38Updated last year
• tsinghua-fib-lab / MDPNet
  KDD 2025: "Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"
  ☆18Updated 8 months ago
• Friger / GAGNN
  add codes
  ☆20Updated 4 years ago
• Rose-STL-Lab / dyffusion
  [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
  ☆225Updated 3 months ago
• mb-Ma / HiSTGNN
  code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences
  ☆17Updated 2 weeks ago
• salvaRC / erdm
  [NeurIPS 2025] Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting
  ☆20Updated last month
• mllam / weather-model-graphs
  Tooling for creating, visualising and storing data-driven weather-model graphs
  ☆20Updated 2 months ago
• nkirschi / Neural-Flood-Forecasting
  Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting
  ☆14Updated 10 months ago
• Rose-STL-Lab / spherical-dyffusion
  [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion
  ☆30Updated 11 months ago
• black-yt / ExtremeCast
  ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
  ☆28Updated last year
• dataymeric / ClimODE
  PyTorch implementation of "ClimODE: Climate Forecasting With Physics-informed Neural ODEs"
  ☆19Updated last year
• Alexander-wu / PastNet
  [MM 2024]
  ☆26Updated 7 months ago
• kethmih / AirPhyNet
  Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).
  ☆39Updated last year
• OpenEarthLab / AI-for-Earth-Paper-List
  ☆26Updated last year
• decisionintelligence / Air-DualODE
  ☆18Updated 3 months ago
• technomii / EWMoE
  ☆15Updated last year
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆79Updated 9 months ago
• compasszzn / CirT
  CirT: Global Subseaonal-To-Seasonal Forecasting with Geometry-inspired Transformer
  ☆18Updated 11 months ago
• OpenEarthLab / FNP
  [NeurIPS 2024] FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
  ☆14Updated 11 months ago
• leap-stc / ChaosBench
  ☆47Updated 10 months ago
• kyegomez / Aurora
  Implementation of the paper: "Aurora: A Foundation Model of the Atmosphere" in PyTorch
  ☆22Updated last week
• taohan10200 / WEATHER-5K
  Large-scale Time-series Dataset Towards Next-Generation Global Station Weather Forecasting Benchmark
  ☆85Updated last week
• xzwbsz / DGFormer
  The source code of the SOTA Dynamic Graph Reformer model for weather station prediction.
  ☆13Updated last year
• HuskyNian / HR-Extreme
  The official code for the paper HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
  ☆21Updated 9 months ago
• yyyujintang / PostRainBench
  Official PyTorch Code for ICLR24 Workshop Paper: PostRainBench
  ☆28Updated last year
• marshka / hdtts
  Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
  ☆16Updated 11 months ago
• thuml / ModeRNN
  ☆14Updated 3 years ago