Alternatives and similar repositories for neural-ode-weather-forecast

Users that are interested in neural-ode-weather-forecast are comparing it to the libraries listed below

• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 3 years ago
• pooyasf / DGM
  Solving High Dimensional Partial Differential Equations with Deep Neural Networks
  ☆34Updated 3 years ago
• ORF522 / companion
  Supporting material for Princeton ORF522
  ☆13Updated 6 months ago
• RajDandekar / MSML21_BayesianNODE
  ☆38Updated 3 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆56Updated 3 years ago
• lorenzrichter / PDE-backward-solver
  ☆21Updated 8 months ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆49Updated 2 months ago
• japlatt / BasicReservoirComputing
  Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
  ☆30Updated 3 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆40Updated 3 years ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆52Updated 2 years ago
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆24Updated 5 years ago
• luckystarufo / multiscale_HiTS
  ☆72Updated 4 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆12Updated 3 years ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated 11 months ago
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆28Updated 4 years ago
• ThGaskin / NeuralABM
  Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks
  ☆30Updated last month
• nathanaelbosch / ProbNumDiffEq.jl
  Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
  ☆129Updated last month
• a-norcliffe / sonode
  Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
  ☆58Updated 8 months ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆41Updated 5 years ago
• Beramos / Workshop-NeuralODE-2020
  A 30-minute showcase on the how and the why of neural differential equations.
  ☆13Updated last year
• mariodeflorio / AI-Lorenz
  ☆32Updated last year
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆77Updated 2 months ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆75Updated 2 years ago
• google-research / swirl-dynamics
  ☆57Updated this week
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆30Updated 2 years ago
• pnkraemer / probfindiff
  Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…
  ☆11Updated 2 years ago
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆42Updated 4 months ago