Alternatives and similar repositories for EnSF:

Users that are interested in EnSF are comparing it to the libraries listed below

• PKU-CMEGroup / InverseProblems.jl
  ☆103Updated this week
• zezhongzhang / Score-based-Filter
  Code repository for paper: A score-based filter for nonlinear data assimilation
  ☆10Updated 5 months ago
• dg227 / NLSA
  Kernel methods for statistical modeling of dynamical systems
  ☆24Updated 3 months ago
• schmidtjonathan / Climate2Weather
  This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…
  ☆20Updated 2 months ago
• deinal / seacast
  Regional Ocean Forecasting with Hierarchical Graph Neural Networks
  ☆13Updated last week
• MeasureTransport / MParT
  Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.
  ☆16Updated 10 months ago
• ai2cm / fv3net
  explore the FV3 data for parameterization
  ☆17Updated 3 months ago
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆49Updated last year
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆53Updated 11 months ago
• m2lines / pyqg_parameterization_benchmarks
  Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"
  ☆11Updated 2 years ago
• louity / qgm_pytorch
  PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.
  ☆11Updated 2 years ago
• CliMA / EnsembleKalmanProcesses.jl
  Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
  ☆99Updated this week
• rickchartrand / regularized_differentiation
  Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …
  ☆30Updated 6 years ago
• googleinterns / invobs-data-assimilation
  ☆35Updated 3 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆26Updated 9 months ago
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• cphyc / FyeldGenerator
  Easily generate random fields
  ☆18Updated 3 weeks ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆38Updated last year
• glwagner / dedaLES
  Large Eddy Simulation with dedalus
  ☆36Updated 6 years ago
• erichson / SuperBench
  ☆43Updated 7 months ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆66Updated 5 months ago
• agdestein / NeuralClosureTutorials
  ☆9Updated 7 months ago
• yifanc96 / GaussianProcessPDEs
  An integrated demo: Gaussian processes for PDEs and inverse problems
  ☆14Updated 3 months ago
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 3 years ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• tum-pbs / unrolling
  ☆16Updated 3 months ago
• envfluids / py2d
  Python 2D Navier-Stokes solver
  ☆16Updated last month
• yifanc96 / NonLinPDEs-GPsolver
  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
  ☆39Updated 6 months ago
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆28Updated 5 months ago
• mingdeyu / DGP
  Python package 'dgpsi' for deep and linked Gaussian process emulations
  ☆26Updated 3 months ago