Alternatives and similar repositories for odeformer

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

• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆36Updated 2 years ago
• kpchamp / SindyAutoencoders
  ☆366Updated 3 years ago
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆109Updated 2 years ago
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆98Updated 4 years ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆80Updated 4 months ago
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆76Updated 2 years ago
• qu-gg / torch-neural-ssm
  Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
  ☆50Updated 8 months ago
• gaoliyao / sindy-shred
  Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.
  ☆30Updated 3 weeks ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆53Updated 2 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆82Updated 11 months ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆61Updated 9 months ago
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆269Updated 3 weeks ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆27Updated 2 months ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆74Updated 3 years ago
• Rose-STL-Lab / Dynamic-Adaptation-Network
  ☆28Updated last year
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆135Updated 11 months ago
• long-da / A-United-Framework-to-Integrate-Physics-into-Gaussian-Processes
  ☆11Updated 2 years ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆55Updated last year
• DurstewitzLab / ChaosRNN
  ☆19Updated 2 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆58Updated last year
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆172Updated 8 months ago
• MatthieuDarcy / KernelsOperatorLearning
  ☆11Updated 8 months ago
• pdearena / pdearena
  ☆268Updated 11 months ago
• GilpinLab / dysts
  Hundreds of strange attractors
  ☆487Updated this week
• neuraloperator / markov_neural_operator
  ☆36Updated last year
• yuan-yin / APHYNITY
  Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  ☆47Updated last year
• NickGeneva / blog-code
  Code and files related to random side projects
  ☆21Updated 3 years ago
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated last year
• kpchamp / MultiscaleDiscovery
  ☆29Updated 7 years ago